TW200931389A

TW200931389A - A backlight modulation and image processing method

Info

Publication number: TW200931389A
Application number: TW97100202A
Authority: TW
Inventors: Ching-Fu Hsu; Chih-Chang Lai; Jyun-Sian Li
Original assignee: Wintek Corp
Priority date: 2008-01-03
Filing date: 2008-01-03
Publication date: 2009-07-16
Also published as: TWI382395B

Abstract

A backlight modulation and image processing method, which obtains the average picture gray level (APL) of each picture by analyzing and calculating the picture information, and calculates backlight modulation rate according to the average picture gray level for calculating the amount of the backlight brightness that needs to be reduced for each picture so as to achieve the purpose of backlight modulation. Moreover, at the same time when the backlight is being modulated, the color model of the picture is transformed and re-mapped so that the picture information can be re-arranged so as to be compliant with the picture quality after modulation; thus, avoiding the distortion. This will solve the backlight blinking problem when the backlight is being modulated, and will increase the contrast effect of the picture and achieve the energy-saving efficacy as well.

Description

200931389 九、發明說明：【發明所屬之技術領域】本發明係有關一種背光調變與影像處理之方法，特別為針對不同圖像資料適當調變背光亮度，並將原始圖像資料重新處理，以搭配調變後之背光亮度，並維持原有之圖像品質。【先前技術】早期具有液晶螢幕之電子裝置為了節省功率消耗，會在背光模組上設計一可調變背光亮度的簡易功能，使用者可依不同電子裝置之操作狀態，自行將背光亮度設定為明亮模式（bright mode)或一般模式（normal mode)。在明亮模式下，亮度約為400cd/m2 ;若是在一般模式下，亮度則約為250 cd/m2，以達到簡易的省電功能。但此種調變背光亮度之方式，存在有值得需要改進的兩個問題，其一，需要根據使用者操作狀態自行進行背光模式的變更，對於使用者而言多了一道步驟；其二，對於不同的輸入圖像資訊而言，搭配過亮的或是過暗背光則會影響輸出之圖像品質，而造成人眼觀賞時的不舒服感。如美國專利第5,598,565號案，說明電子裝置為達到節省功率損耗之目的，藉由設置電源管理系統（power management system)以調節功率消耗。電源管理系統分別針對硬碟裝置（hard drive disk)、軟碟裝置（floppy 5 200931389 drive disk)ju « τ driver)等三倘平面顯示裝置(flat Panel di_y 裝置及軟卿1子裝置進行電源調節省電控制。在硬碟式電腦閒置超^個子裝置電源調節控制部分，當可穩關閉硬碟^敕體設定的時間’祕則會發*命令以消耗的目的及敕碟裝置的轉速動作，以達到節省功率使用者切換^在平面顯示裝置調節控制部分，係藉由200931389 IX. Description of the Invention: [Technical Field] The present invention relates to a method for backlight modulation and image processing, particularly for appropriately adjusting backlight brightness for different image data, and reprocessing original image data to Match the brightness of the backlight after modulation, and maintain the original image quality. [Prior Art] In order to save power consumption, an electronic device with an LCD screen in the early stage will design a simple function of changing the backlight brightness on the backlight module. The user can set the backlight brightness to be different according to the operating state of different electronic devices. Bright mode or normal mode. In bright mode, the brightness is about 400 cd/m2; in the normal mode, the brightness is about 250 cd/m2 for easy power saving. However, there are two problems worthy of improvement in the way of modulating the brightness of the backlight. First, it is necessary to change the backlight mode according to the user's operating state, which is a step for the user; second, for For different input image information, the over-bright or over-bright backlight will affect the image quality of the output, which will cause discomfort when viewing the human eye. In the case of U.S. Patent No. 5,598,565, the electronic device is described for the purpose of saving power loss by setting a power management system to regulate power consumption. The power management system is for the hard disk device (hard drive disk), floppy disk device (floppy 5 200931389 drive disk) ju « τ driver, etc., such as the flat panel display device (flat panel di_y device and soft qing 1 device) for power adjustment Electric control. In the hard disk type computer idle super device power adjustment control part, when the stable setting of the hard disk ^ body setting time 'secret will send * command to consume the purpose and the speed of the disk device action, to To achieve power-saving user switching ^ in the flat display device adjustment control part, by

行省電控制。】開關’以進 _ ^ 田蠄電模式啟用時’可分成靜態及動態畫订，制，若是在靜態畫面工作時，判斷游標 cursor)疋位之位置，降低其他區域中畫素的亮度並維 =此區域中晝素的亮度’以達到省電效果；若是在動態晝面工作時，平面顯示裝置的電源管理系統會將前後張圖像資料進行分析’由於相鄰的動態圖像内容一般差異不大，故利用前景與後景方式進行調變參考依據，前景資料一般是屬於會移動的物體，至於後景則屬於靜止不動的背景，因此針對靜止不動的背景做亮度上的調節，而只讓會移動的物體維持原有亮度。但此一方式尚有二個問題點需要改善，第一，在平面顯示裝置調節控制部分，若是使用者在一般操作模式下工作，省電模式則^ 會被啟動，不但無法達到省電之效果亦不夠人性化；第二，當使用者在省電模式下工作時，由於只有部分畫素區域會維持原有亮度’其他區域亮度則會被降低，則整個顯示晝面給子使用者的視覺效果會變得偏暗或是造成視覺上的不舒適；第三，對於背光液晶顯示器而言，可能會因為刷新速度（refresh rate)降低而導致輪出 200931389 之圖像品質變差。另外，日本專利第08-201812號案係揭露一種液晶顯示裝置，其可動態調變背光用以改善傳統控制方式。液晶顯示裝置主要包括一平均亮度偵測電路（average brightness detecting circuit)以及一背光控制電路 (backlight control portion) ° 舉例來說，當平均亮度偵測電路偵測一圖像（picture)之平均亮度階數 (average brightness level)為高準位（high)時，則利用背光控制電路降低背光的亮度。此案可以有效減少液晶顯示裝置有過亮或過暗的現象存在，使得使用者可以容易地並舒適地使用液晶顯示裝置，使用者可更直接地觀賞並感受到圖像動態顯示效果；換言之，即是提高零屏（dark screen)及亮屏（bright screen)各別之對比特性。但是，當平均亮度階數為低準位（1挪）時，提高液晶顯示裝置之亮度並改善圖像品質的同時，在顯示黑色晝面時，液晶顯示裝置（LCD portion)可能會有部份光線由背光部分漏出，這種漏光的現象被稱為純黑損耗 (loss of true black)，會造成顯示圖像呈現發白的現象進而使得顯示效果變差。因此，雖然提高了背光亮度但卻也增加了純黑損耗的缺點。又，日本專利第2001-27890號案係揭露一種影像顯示裝置及景々像顯示方式，其在一特定的關係中，透過動態調節一圖像訊號的對比度及背光的亮度。此一專利技術係依據一補償值來增加圖像訊號的動態變化範圍；此一補償值係以平均亮度及圖像訊號位移的程度作為參 200931389 考。藉此在顯示螢幕上提高圖像之對比度，並同時透過調節控制背光亮度，以模糊視圖像與背光間之亮度差。所以.，圖像之對比度可透過上述之處理而改善。但若包含了一張不元全（朋潰）的圖像時’圖像訊破的動態範圍 - 會立即被擴大’因此會強調出圖像之缺陷邹分，進而被使用者認定是缺陷。假使圖像訊號的動態範圍夾雜有雜訊（noise)訊號成分，並進而被擴大的同時，其雜訊訊號成分也會被強調，亦會被使用者認定是缺陷。 Ο 再者’日本專利第06-102484號案係揭露藉由圖像訊號與背光控制訊號的相關性進行動態程度上的調變。即當一訊號為暗階（dark 1 eve 1)並且暗階大於—界限值（threshold value)時，則降低背光亮度，並同時將圖像訊號的動態範圍進行擴張。反之，若是暗階沒有大於界線值，則不會對背光亮度及圖像訊號進行任何調變。在亮階（bright level)的圖像區域沒有被影響的情況下，上述的調變可以降低偏暗圖像區域亮度的不均勻 Ο 性。然而，上述圖像訊號及背光亮度的調整，主要是根據圖像訊號的暗階資訊進行分析而沒有參考其他的資訊，例如圖像訊號的平均亮度等等，因此，當圖像沒有 ‘暗階存在時，即不會調整圖像訊號，也就是說圖像之顯不品質並不會被改善。 … 而美國專利第7, 053, 881號案亦揭露動態調變圖像訊號與背光控制訊號之方法，其為改善前述日本專利案第08-201812號案之缺點。該方法主要的流程為輸又一圖像訊號，並且同時傳送到顯示控制部（dispiay 8 200931389 control portion)、平均亮度偵測部 Uverage brightness detecting portion)以及峰值偵測部（peak detecting portion)進行處理；顯示控制部係將輸入之圖像訊號轉換為顯示裝置能顯示之資料模式；平均真产偵測部則是針對整張圖像的圖像訊號進行平均亮^ 算，並將處理後的平均亮度訊號值（ave—signal)傳送至背光控制部作為背光調變的參考值；以及峰值偵測部係針對不同之圖像訊號之内容進行峰值（peak value)的運算’其結果可能是高態（high state，1)及低態（iow state’ 0)，並且同樣會提供一峰值訊號給背光控制部作為背光調變的參考值。因此在背光控制部中，會同時參考平均亮度訊號值及峰值訊號值而調變背光.。此方法雖然藉由增加峰值偵測部而改善顯示之圖像的對比受到亮度改變的影響，但卻會造成圖像品質降低，並且無法維持原始圖像的顯示效果。因此，本發明針對上述前案的問題及缺失，提出一種背光調變與影像處理之方法，使得調變背光時不會出現閃爍現象而影響使用者的視覺觀感，並且同時維持圖像品質。【發明内容】本發明提供一種背光調變與影像處理之方法，其係藉由分析計算每張圖像之圖像資訊而取得平均圖像準位值，並根據平均圖像準位值計算出圖像需被降低之背光壳度，藉此達到背光調變之目的，並同時將圖像資訊 9 200931389 經由色彩模型之轉換及重置等運算，藉此獲得一圖像輸出值’使得調變背光時不會出現閃爍現象而影響使用者的視覺觀感，同時也可以維持圖像之色調並強化對比。為達上述目的’本發明提供一種背光調變與影像處理方法，其包括下列步驟：取得一平均圖像準位值 (Average Picture gray Level, APL)後再取得一背光調，率，其中平均圖像準位值係藉由分析一圖像資訊而Power saving control. 】Switch 'into _ ^ when the field power mode is enabled' can be divided into static and dynamic drawing, system, if it is working in static picture, judge the position of the cursor cursor, reduce the brightness and dimension of pixels in other areas = brightness of the pixel in this area to achieve power saving effect; if it is working in dynamic surface, the power management system of the flat display device will analyze the image data before and after 'because of the difference between adjacent dynamic image content It is not large, so the foreground and the rear view are used to adjust the reference basis. The foreground data generally belongs to the moving object, while the back view belongs to the stationary background, so the brightness is adjusted for the stationary background, and only Let the moving object maintain its original brightness. However, there are still two problems in this method that need to be improved. First, in the adjustment control part of the flat display device, if the user works in the normal operation mode, the power saving mode will be activated, and the power saving effect cannot be achieved. It is also not user-friendly. Secondly, when the user works in the power-saving mode, since only part of the pixel area will maintain the original brightness, and the brightness of other areas will be reduced, the entire display will be given to the sub-user's vision. The effect may become dark or cause visual discomfort; thirdly, for a backlit liquid crystal display, the image quality of the 200931389 may be deteriorated due to a decrease in the refresh rate. Further, Japanese Patent Publication No. 08-201812 discloses a liquid crystal display device which can dynamically modulate a backlight to improve a conventional control mode. The liquid crystal display device mainly includes an average brightness detecting circuit and a backlight control portion. For example, when the average brightness detecting circuit detects an average brightness level of a picture (picture) When the average brightness level is high, the backlight control circuit is used to reduce the brightness of the backlight. The case can effectively reduce the phenomenon that the liquid crystal display device is too bright or too dark, so that the user can easily and comfortably use the liquid crystal display device, and the user can directly view and feel the dynamic display effect of the image; in other words, That is to improve the contrast characteristics of the dark screen and the bright screen. However, when the average brightness order is low (1 )), the brightness of the liquid crystal display device is improved and the image quality is improved, and the liquid crystal display device (LCD portion) may have a portion when the black ruthenium is displayed. The light leaks from the backlight portion. This phenomenon of light leakage is called loss of true black, which causes the display image to appear whitish and the display effect is deteriorated. Therefore, although the backlight brightness is increased, the disadvantage of pure black loss is also increased. Further, Japanese Patent No. 2001-27890 discloses an image display device and a scene display mode in which a contrast of an image signal and a brightness of a backlight are dynamically adjusted in a specific relationship. The patented technology increases the dynamic range of the image signal according to a compensation value; the compensation value is based on the degree of average brightness and image signal displacement as reference 200931389. In this way, the contrast of the image is increased on the display screen, and at the same time, the brightness of the backlight is controlled by the adjustment to blur the difference in brightness between the image and the backlight. Therefore, the contrast of the image can be improved by the above processing. However, if an image that is not full (Peng Chou) is included, the dynamic range of the image break will be expanded immediately. Therefore, the defect of the image will be emphasized, and the user will be identified as a defect. If the dynamic range of the image signal is mixed with a noise signal component, and then expanded, the noise signal component will be emphasized and will be identified as a defect by the user. Further, 'Japanese Patent No. 06-102484 discloses a dynamic degree of modulation by correlation of an image signal with a backlight control signal. That is, when a signal is dark 1 eve 1 and the dark level is greater than the threshold value, the backlight brightness is lowered and the dynamic range of the image signal is expanded at the same time. Conversely, if the dark level is not greater than the boundary value, no adjustment will be made to the backlight brightness and image signal. In the case where the image area of the bright level is not affected, the above-described modulation can reduce the unevenness of the brightness of the dark image area. However, the adjustment of the image signal and the brightness of the backlight is mainly based on the analysis of the dark information of the image signal without referring to other information, such as the average brightness of the image signal, etc., therefore, when the image has no 'dark order When it exists, the image signal will not be adjusted, which means that the quality of the image will not be improved. The method of dynamically modulating the image signal and the backlight control signal is also disclosed in the U.S. Patent No. 7,053,881, which is to improve the disadvantages of the aforementioned Japanese Patent Application No. 08-201812. The main flow of the method is to transmit another image signal, and simultaneously transmit it to the display control unit (dispiay 8 200931389 control portion), the average brightness detecting portion (Uverage brightness detecting portion), and the peak detecting portion for processing. The display control unit converts the input image signal into a data mode that the display device can display; the average real product detection unit performs an average brightness calculation on the image signal of the entire image, and averages the processed image. The brightness signal value (ave_signal) is transmitted to the backlight control unit as a reference value for backlight modulation; and the peak detection unit performs peak value calculation for the content of different image signals. The result may be a high state. (high state, 1) and low state (iow state '0), and also provide a peak signal to the backlight control unit as a reference value for backlight modulation. Therefore, in the backlight control unit, the backlight is modulated by referring to the average luminance signal value and the peak signal value at the same time. Although the method of improving the contrast of the displayed image by the addition of the peak detecting portion is affected by the brightness change, the image quality is lowered and the original image cannot be maintained. Therefore, the present invention provides a method for backlight modulation and image processing in response to the above problems and disadvantages, so that the backlight can be modulated without blurring and affecting the visual perception of the user while maintaining the image quality. SUMMARY OF THE INVENTION The present invention provides a method for backlight modulation and image processing, which obtains an average image level value by analyzing and calculating image information of each image, and calculates an average image level value according to an average image level value. The image needs to be reduced by the backlight shell degree, thereby achieving the purpose of backlight modulation, and simultaneously converting and resetting the image information 9 200931389 through the color model, thereby obtaining an image output value 'to make modulation There is no flicker in the backlight, which affects the user's visual perception, while maintaining the color tone of the image and enhancing contrast. In order to achieve the above object, the present invention provides a backlight modulation and image processing method, which includes the following steps: obtaining an average picture level (APL) and then obtaining a backlight adjustment rate, wherein the average image is obtained. Like the level value by analyzing an image information

取侍，以及取得圖像資訊之一第一亮度因子，根據一亮度因子重置模型將第一亮度因子重置為一第二亮度因子後，取知一比例因子，再將比例因子與圖像資訊之一 ^像輸入值運算後’得到—圖像輸出值；藉此，根據背二調變率以調m亮度並根據®像輸出值處理影像，以維持影像品質。，藉由本發明的實施’至少可以達到下列之進步功效：、藉由調整背光亮度以達省電之功效。、f少調變背光的過程中_現象的產生。、提升圖像對比度’得以維持和原有圖像—樣的圖像品 μ 光i组中，應、用本發明之邊射型發光二. 、·° 、糸侍以有效地降低背光模組之厚度。優點以：在！施方式中詳細敘述本發明之詳細特徵以' 技術內足以使任何熟習相關技藝者了解本發明: 申二專η以貫施’且根據本說明書所揭露之内容月專利範圍及圖示，任何熟習相關技藝者可輕易地3 200931389 解本發明相關之目的及優點。【實施方式】為使對本發明的目的、構造、特徵及其功能有進一步的暸解，茲配合實施例詳細說明如下。上述關於本發明内容的說明以及下列的實施方式之說明係用以示範與解釋本發明之原理，並且提供本發明之專利申請範圍更進一步之解釋。Taking a wait, and obtaining a first brightness factor of the image information, resetting the first brightness factor to a second brightness factor according to a brightness factor reset model, obtaining a scale factor, and then using the scale factor and the image One of the information is to get the image output value after the input value is calculated; thereby, the image is processed according to the image output value according to the back second modulation rate to maintain the image quality. At least the following advancements can be achieved by the implementation of the present invention: by adjusting the brightness of the backlight to achieve power saving. , f less modulation of the backlight process _ phenomenon. , to improve the image contrast 'to maintain and the original image - like the image of the product μ light i group, should use the edge-emitting type of the present invention II. · · °, 糸以 to effectively reduce the backlight module The thickness. Advantages are: in! DETAILED DESCRIPTION OF THE INVENTION The detailed features of the present invention are described in detail in the specification, which is sufficient to enable the skilled artisan to understand the present invention: the application of the invention and the disclosure of the patent patent scope and illustration according to the disclosure of the present specification, any familiarity The related art and related objects and advantages of the present invention can be easily solved by those skilled in the art. [Embodiment] In order to further understand the object, structure, features and functions of the present invention, the following detailed description will be given in conjunction with the embodiments. The above description of the present invention and the following description of the embodiments are intended to illustrate and explain the principles of the invention, and to provide a further explanation of the scope of the invention.

請參考圖1，係為本發明之一較佳實施例的流程方塊圖，本實施例之背光調變與影像處理方法，其中包括：步驟S200 :背光調變步驟；以及步驟S300 :影像處理步驟。其中，步驟S200係包括：步驟S210 :取得一平均圖像準位值；以及步驟S220 :取得一背光調變率。讀再參考圖2a，係為本發明取得平均圖像準位值方法之流程方塊圖，步驟S210之方法包括：步驟S211 :預設一晝素百分比值；步驟S212 :分析圖像資訊，其為分析圖像中每一畫素之灰階值，並且統計每一灰階值之晝素數量，藉以建立一分析統計資訊，其可為一分析統計圖，並計算出圖像之一總晝素數量，其 200931389 中分析統計圖中每一晝素之灰階值是根據各晝素資料之子晝素資料逕行取得，如max(R，G, B)、Please refer to FIG. 1 , which is a block diagram of a preferred embodiment of the present invention. The backlight modulation and image processing method of the present embodiment includes: Step S200: backlight modulation step; and step S300: image processing step . The step S200 includes: step S210: obtaining an average image level value; and step S220: obtaining a backlight modulation rate. Referring again to FIG. 2a, which is a block diagram of a method for obtaining an average image level value according to the present invention, the method of step S210 includes: Step S211: preset a pixel percentage value; Step S212: analyze image information, which is Analyze the grayscale value of each pixel in the image, and count the number of pixels of each grayscale value, thereby establishing an analytical statistical information, which can be an analytical statistical graph, and calculate one of the total pixels of the image. The quantity, the gray scale value of each element in the analysis chart in 200931389 is obtained according to the sub-purin data of each element data, such as max(R, G, B),

• 1/3*(R+G+B)或 0.299xR+ 0.587xG - +0. 114xB ;其中R、G、B係為在 RGB色彩模型之圖像資訊，但並不限於上述之方法；步驟S213 :由高灰階值向低灰階值累加每一灰階值之一晝素數量，以得到一累加晝素數量，藉此分析圖像之亮暗比例；步驟S214 :判斷累加晝素數量是否等於總畫素數量與晝素百分比值之乘積或大於總晝素數量與晝素百分比值之乘積的最小整數量；以及步驟S215:當步驟S214判斷的結果為累加晝素數量等於總畫素數量與晝素百分比〇值之乘積或大於總晝素數量與晝素百分比值之乘積的最小整數量時，則擷取灰階值作為平均圖像準位值。請參考圖2b，係為本發明之另一種取得平均圖像準位值方法之流程方塊圖，步驟S210’係為另一取得平均圖像準位值的方法，其包括：步驟S211 :預設一畫素百分比值；步驟S216 :取得一晝素百分比差值，其係以數值1減去晝素百分比值而得出畫素 12 200931389 百分比差值；步驟S212 :分析圖像資訊，其為分析圖像中每一晝素之灰階值，並且統計每一灰階值之晝素數量，藉以建立一分析統計資訊，其可為一分析統計圖，並計算出圖像之一總晝素數量；步驟S217 :由低灰階值向高灰階值累加每一灰階值之一晝素數量，以得到一累加畫素數量，藉此分析圖像之亮暗比例；步驟S218 :判斷累加晝素數量是否等於總晝素數量與晝素百分比差值之乘積或大於總晝素數量與晝素百分比差值之乘積的最小整數量；以及步驟S219 :當步驟218判斷結果為累加畫素數量等於總晝素數量與晝素百分比差值之乘積或大於總畫素數量與晝素百分比差值之乘積的最小整數量時，則擷取此時的灰階值作為平均圖像準位值。請再參考圖2c，係為本發明擷取圖像資訊之曲線圖，其係利用直方圖分析（Histogram Analysis)擷取平均圖像準位（APL)值；其擷取步驟係將分析一圖像資訊各晝素之灰階值，再統計各灰階值的晝素數量，藉此可得知此圖像之亮暗比例，並可得知圖像資訊之總晝素數量。為了對圖像之亮暗比例做適當之亮暗變化判 200931389 1 ’由分析統計圖中之高灰階值向低灰階值累加每一灰階值之晝素數量，以得到一累加畫素數量，並判斷累加晝素數量是否等於總畫素與晝素百分比值之乘積或大於〜晝素數量與晝素百分比值之乘積的最小整數量；當 $斷結果係為累加畫素數量等於總晝素數量與晝素百刀比值之乘積或大於總晝素數量與畫素百分比值之乘積的最小整數量時，則擷取此時的灰階值作為平均圖像準位值。舉例來說’若預設之晝素百分比值為25%，經過分 2像資訊後’可得知此圖像之亮暗比例其圖像資訊之旦素數量如由兩灰階值向低灰階值累加每一灰階值，晝素數量，以得到一累加畫素數量，當累加晝素數量等於總晝素數量的25%時’則擷取此時的灰階值作為平均圖像準位值。若是由低灰階值向高灰階值累加每一灰階值之畫素數量，以得到一累加畫素數量，則需先以數 „ 值1減去所預設之晝素百分比值以得出晝素百分比差 w 值，而畫素百分比差值則為75%，當累加畫素數量等於總晝素數量的75%時，則擷取此時的灰階值作為平均圖像準位值。請參考圖3a及圖3b’其中圖3a係為本發明影像處理步驟之流程方塊圖，圖3b係表示本發明平岣圖像準位值與背光調整率之線性關係圖；步驟S220之方法包括：步驟S221 :設定一變數值（var); 步驟S222 :取得一最大平均圖像準位值 14 200931389 (APL_); 步驟S223 :取得一參考值（m);以及步驟S224 :取得一背光調變率。• 1/3*(R+G+B) or 0.299xR+ 0.587xG - +0. 114xB; where R, G, and B are image information in the RGB color model, but are not limited to the above method; Step S213 : accumulating the number of pixels of each gray scale value from the high gray scale value to the low gray scale value to obtain a cumulative number of pixels, thereby analyzing the brightness ratio of the image; Step S214: determining whether the accumulated number of pixels is And a minimum integer quantity equal to a product of the total number of pixels and a percentage of the percentage of the pixels; and a step S215: the result of the step S214 is that the number of accumulated pixels is equal to the total number of pixels. When the product of the percentage of the prime percentage is greater than the product of the total number of elements and the percentage of the percentage of the element, the gray level value is taken as the average image level. Please refer to FIG. 2b , which is a block diagram of another method for obtaining an average image level value according to the present invention. Step S210 ′ is another method for obtaining an average image level value, which includes: Step S211 : Preset a pixel percentage value; Step S216: obtaining a pixel percentage difference, which is obtained by subtracting the percentage value of the pixel from the value 1 to obtain a pixel 12 200931389 percentage difference; Step S212: analyzing the image information, which is an analysis The gray scale value of each element in the image, and the number of pixels of each gray scale value is calculated, thereby establishing an analysis statistical information, which can be an analysis chart, and calculating the total number of pixels of the image. Step S217: accumulating the number of pixels of each grayscale value from the low grayscale value to the high grayscale value to obtain a cumulative number of pixels, thereby analyzing the brightness ratio of the image; Step S218: judging the accumulation Whether the number of primes is equal to the product of the total number of halogens and the percentage difference of the percentage of halogens or the minimum integer quantity of the product of the total number of halogens and the percentage of the percentage of the primes; and step S219: when the result of step 218 is that the number of accumulated pixels is equal to total When the product of the number of elements and the percentage difference of the percentage of the element is greater than the minimum quantity of the product of the total number of pixels and the percentage difference of the percentage of the pixels, the gray level value at this time is taken as the average image level. Please refer to FIG. 2c again, which is a graph for capturing image information according to the present invention, which uses Histogram Analysis to obtain an average image level (APL) value; and the extraction step is to analyze an image. For example, the grayscale value of each element of the information, and then count the number of pixels of each grayscale value, thereby knowing the brightness ratio of the image, and knowing the total number of pixels of the image information. In order to make appropriate light and dark changes to the brightness and darkness ratio of the image, 200931389 1 'Accumulate the number of pixels of each grayscale value from the high grayscale value in the analysis chart to the low grayscale value to obtain a cumulative pixel. Quantity, and determine whether the number of accumulated pixels is equal to the product of the total pixel and the percentage of the halogen element or the minimum integer quantity of the product of the number of the element and the percentage of the element of the halogen; when the result of the break is the number of accumulated pixels is equal to the total When the product of the number of elements and the ratio of the number of elements is greater than the minimum quantity of the product of the total number of elements and the percentage of pixels, the gray level value at this time is taken as the average image level. For example, if the default percentage of the pixel is 25%, after dividing the image information by 2, you can know the brightness ratio of the image, and the number of image information is as low as gray. The step value accumulates each gray scale value, the number of pixels, to obtain a cumulative number of pixels. When the number of accumulated pixels is equal to 25% of the total number of pixels, then the gray scale value at this time is taken as the average image standard. Bit value. If the number of pixels of each grayscale value is accumulated from the low grayscale value to the high grayscale value to obtain a cumulative number of pixels, the number of values of the predetermined pixel is first subtracted from the value „1. The percentage of the percentage of the pixel is w, and the difference of the percentage of pixels is 75%. When the number of accumulated pixels is equal to 75% of the total number of pixels, the gray value at this time is taken as the average image level. Please refer to FIG. 3a and FIG. 3b'. FIG. 3b is a flow block diagram of the image processing step of the present invention, and FIG. 3b is a linear relationship diagram of the flat image level value and the backlight adjustment rate of the present invention; The method includes the following steps: Step S221: setting a variable value (var); Step S222: obtaining a maximum average image level value 14 200931389 (APL_); Step S223: obtaining a reference value (m); and Step S224: obtaining a backlight Variability.

最大平均圖像準位值（APL_)係藉由讀取圖像資訊之一影像資料位元數η後計算而得，如果圖像位元數為 8，則平均圖像準位值之最大值為28-1，而參考值（m) 係等於最大平均圖像準位值（APL_〇除以1與變數值間差值（Ι-var)之整數值，或大於最大平均圖像準位值 (APLmax)除以1與變數值間差值（1-var)之最小整數值，也就是說 m = APLmax/(l-var)，其中 m 為整數，或 m>APLniax/(l-var)，其中m取最小整數；背光調變率（BackDim)係將平均圖像準位值（APL)除以參考值（m)後再加上變數值（var)後而取得，也就是說背光調變率可以寫成如下述之方程式The maximum average image level value (APL_) is calculated by reading the number of image data bits η of the image information. If the number of image bits is 8, the maximum value of the average image level is obtained. Is 28-1, and the reference value (m) is equal to the maximum average image level value (APL_〇 divided by the integer value of the difference between 1 and the variable value (Ι-var), or greater than the maximum average image level The value (APLmax) is divided by the smallest integer value of the difference (1-var) between 1 and the variable value, that is, m = APLmax / (l-var), where m is an integer, or m > APLniax / (l-var) ), where m is the smallest integer; backlight modulation rate (BackDim) is obtained by dividing the average image level (APL) by the reference value (m) and adding the variable value (var), that is, the backlight The modulation rate can be written as the equation below

BackDim =(APL/m)+ var 。舉例來說，若將變數值設為0. 5，而圖像位元數為 8，則最大平均圖像準位值（APL_)為255，所以可進一步計算出參考值（m)為數值510,所以背光調變方程式則可寫成BackDim = (APL/m) + var . For example, if the variable value is set to 0.5 and the number of image bits is 8, the maximum average image level value (APL_) is 255, so the reference value (m) can be further calculated as the value 510. , so the backlight modulation equation can be written as

BackDim=(APL/510)+0.5 ，因此在取得平均圖像準位值後，即可將平均圖像準位值 (APL)代入背光調變方程式中，以取得背光調變率。又因平均圖像準位值與背光調變率呈線性關係，所以在背 15 200931389 光調整之過程中，圖像之亮度變化能夠更適應性地進行調變處理’使得圖像不論是在靜態或是動態顯示的過程中，會有閃爍的現象發生，並且根據不同之圖像，背光調變就會有不同的調變結果。請再參考圖1 ’其中步驟S300係包括：步驟S310:取得一第—亮度因子；步驟S320 :建立一亮度因子重置模型；步驟S330 :根據亮度因子重置模型將第—亮度因子重置為一第二亮度因子；步驟S340 :取得一比例因子；以及步驟S350 :取得一圖像輸出值。而步驟S310之方法係將圖像資料由一 _色彩模型轉換為-YUV色彩模型後操取m色彩模型中之亮度因子而得。因YUV色彩模型中Y為亮度因子、u及色彩因子’又因為本實施例僅針對背光進行調變，所以僅擷取YUV色彩模型中之亮度因子作為第—亮度因子。而 RGB色彩模型轉換為YUV色彩模型之方式可使用例如下列的轉換方程式： Y = raax(R, G, B); Y=1/3*(R+G+B);或 Y= 0· 299xR+ 0. 587xG+ 0. 1 ΐ4χΒ ; 其中R、G、B係為在RGB色彩模型之圖像資訊，但並不限於上述之轉換方程式。以下敘述係以γ=〇 299χ R + 0. 587xG+ 0. 114χΒ之方程式為例。 16 200931389 請參考圖4,係為本發明之三個不同圖像之圖像資訊分析統計圖，其為分析三個不同圖像之分析統計二訊’若將晝素百分比值設為25%，並且由高灰階值向二 •灰階值累加每一灰階值之畫素數量，直到晝素數量之和 -大於總晝素數量的25%時，可分別由三個分析統計中齡出APL·、Apt、咖三個灰階值作為平均圖像位值，且APL·、APL、APL係分別介於〇及255之間。請同時參考圖5a、圖5b及圖5c，係分別. & *明亮度，子之重置模型一、重置模型二及重置模型二，其中當平均圖像準位值較低（如圖4中之APLl)，、就是說圖像_倾為偏暗之狀g，财㈣應的重曲線之轉折點在於γ=α，且亮度因子重置模型中亮分之轉換區間會較大，且f光亮度會調降較多:: 值適中(如圖4中之APL〇,也就是說圖；經判讀後為壳、暗均勻之狀態，則其重置曲線的於:=β，且亮度因子重置模型中亮態部分之轉換區間會坐落於接近一半處，此時背光亮度調降約為—半. 當平均圖像準位值較高（如圖4中之APL3)，也就是^或 .像經判讀後為偏亮之狀態，則其重置曲線的轉折圖 • Υ=γ，且亮度因子重置模型中亮態部分之轉換區間= 窄，此時背光亮度調降程度較少；其中β係介於e 之間。 γ 亦即步驟^S320之較佳實施方式（不以此為限），係為當第一壳度因子大於重置曲線的轉折署日一則第一亮度因子經重置曲線重置後，而形成的第點日^产 17 200931389 因子即大於第-亮度因子；又若當第—亮度因子小於重置曲線的轉折點時，則第一亮度因子經重置曲線重置後而开）成的第二売度因子即小於或等於第一亮度因子^而當第一亮度因子等於重置曲線的轉折點時，則第一売度因子則等於第一亮度因子。在步驟S330中，第-亮度因子係根據亮度因子重置模型重置為第二亮度因子。而在步驟S340中，取得比例因子（Scale)之方法係將第二亮度因子(Y，)除以第一亮度因子⑺而得知，也可以寫成BackDim=(APL/510)+0.5, so after obtaining the average image level value, the average image level value (APL) can be substituted into the backlight modulation equation to obtain the backlight modulation rate. Since the average image level value is linear with the backlight modulation rate, the brightness change of the image can be more adaptively modulated during the backlight adjustment of 200931389', so that the image is static. In the process of dynamic display, there will be flickering, and depending on the image, the backlight modulation will have different modulation results. Referring to FIG. 1 again, wherein step S300 includes: step S310: obtaining a first brightness factor; step S320: establishing a brightness factor reset model; step S330: resetting the first brightness factor according to the brightness factor reset model to a second brightness factor; step S340: obtaining a scale factor; and step S350: obtaining an image output value. The method of step S310 is performed by converting the image data from a _ color model to a -YUV color model and then taking the luminance factor in the m color model. Since Y is the luminance factor, u, and color factor in the YUV color model, and since the present embodiment only modulates the backlight, only the luminance factor in the YUV color model is taken as the first luminance factor. The conversion of the RGB color model to the YUV color model can use, for example, the following conversion equation: Y = raax(R, G, B); Y=1/3*(R+G+B); or Y= 0· 299xR+ 0. 587xG+ 0. 1 ΐ4χΒ; where R, G, and B are image information in the RGB color model, but are not limited to the above conversion equation. The following description takes the equation of γ = χ 299 χ R + 0. 587xG + 0.114 为 as an example. 16 200931389 Please refer to FIG. 4 , which is an image information analysis statistical graph of three different images of the present invention, which is an analysis and analysis of three different images. If the percentage value of the morpheme is set to 25%, And accumulating the number of pixels of each grayscale value from the high grayscale value to the second grayscale value until the sum of the number of halogens - greater than 25% of the total number of halogens, respectively, can be calculated by three analytical statistics The three grayscale values of APL·, Apt, and coffee are used as average image bit values, and APL·, APL, and APL are between 〇 and 255, respectively. Please refer to FIG. 5a, FIG. 5b and FIG. 5c at the same time, respectively, & *brightness, sub-reset model 1, reset model 2 and reset model 2, wherein when the average image level is lower (such as In Fig. 4, APLl), that is, the image _ is tilted to the shape of g, the turning point of the heavy curve of the financial (four) is γ = α, and the conversion interval of the bright points in the brightness factor reset model will be larger. And f light brightness will be reduced more:: The value is moderate (such as APL in Figure 4, that is to say; after the interpretation of the shell, dark uniform state, then its reset curve is: = β, and The conversion interval of the bright part of the brightness factor reset model will be located close to half, and the backlight brightness is reduced by about half-time. When the average image level is higher (as in APL3 in Figure 4), ^ or. If the state is bright after being interpreted, the transition curve of the reset curve is • = γ, and the conversion interval of the bright part in the brightness factor reset model is narrow, and the brightness of the backlight is reduced. Less; wherein the β system is between e. γ is the preferred embodiment of step ^S320 (not limited thereto), and is the first shell factor On the turning curve of the reset curve, the first brightness factor is reset by the reset curve, and the first point of the day 17 is generated, the 200931389 factor is greater than the first-lightness factor; and if the first-lightness factor is smaller than the reset curve At the turning point, the second brightness factor after the first brightness factor is reset by the reset curve is less than or equal to the first brightness factor ^, and when the first brightness factor is equal to the turning point of the reset curve, then The first intensity factor is then equal to the first brightness factor. In step S330, the first-thinness factor is reset to the second brightness factor according to the brightness factor reset model. In step S340, the method of obtaining the scale factor is obtained by dividing the second brightness factor (Y,) by the first brightness factor (7), and can also be written as

Scale: Y，/ γ ，藉此求得亮度需調整的比例。在步驟S350中’取得圖像輸出值之方法係將比例因 = (Sca10與圖像資訊之一圖像輸入值（Ri，Gi,Bi)進行乘積運算後，以獲得輸出圖像輸出值（R〇, G〇, b〇)。〇也就是說 R〇-Scale x Ri ； Go = Scale x Gi ; Bo^Scale x 精此’整合背光調變步驟湖及影像處理步驟 3 〇」以達_變背光亮度之省電;力效，並且有效地維 ::顯示之圖像品質’除了可提高圖像對比效果外，圖像ασ質亦不會失真。中的於來說’參相6a，料制本發明另-實施例的輸入圖像彩色圖’其為欲進行㈣難及影像處理之 200931389 圖像’其圖像輸入值為（Ri，Gi，Bi) = (50, 1〇〇, 150)，依照本發明所述之方法’先將圖像輸入值由RGB色彩模型轉換為YUV色彩模型，根據轉換方程式 Y= 0. 299xR+〇· 587XG+0. 114xB =〇· 299x50+ 0. 587x100 + 0. 114x150 = 90. 75 可得知第一亮度因子（γ)為90·75，請同時參考圖6b，係為本實施力之亮度因子重置模型之曲線圖，根據圖 6b所示之亮度因子重置模型，其重置曲線之轉折點在於，Y=66，以將第一亮度因子（γ)重置為第二亮度因子 (Υ’2 ;由於已知第一亮度因子（Υ)為90.75,故可得知第二亮度因子（γ，）為1〇5;接著計算比例因子（Scale)，Scale: Y, / γ , to find the ratio of brightness to be adjusted. In step S350, the method of obtaining the image output value is to calculate the output image output value by multiplying the ratio factor = (Sca10 and image input value (Ri, Gi, Bi) of the image information. 〇, G〇, b〇). That is, R〇-Scale x Ri ; Go = Scale x Gi ; Bo^Scale x This is the 'integrated backlight modulation step lake and image processing step 3 〇” Power saving of backlight brightness; effective effect, and effective dimension:: The image quality of the display 'In addition to improving the image contrast effect, the image ασ quality will not be distorted. In the case of 'phase 6a, material An input image color map of another embodiment of the present invention is a 200931389 image for which (4) difficult image processing is performed, and its image input value is (Ri, Gi, Bi) = (50, 1〇〇, 150 According to the method of the present invention, the image input value is first converted from the RGB color model to the YUV color model according to the conversion equation Y = 0. 299xR + 〇 · 587XG + 0. 114xB = 〇 · 299x50 + 0. 587x100 + 0 114x150 = 90. 75 It can be known that the first brightness factor (γ) is 90·75. Please refer to Figure 6b at the same time. The graph of the sub-reset model is reset according to the brightness factor shown in Fig. 6b, and the turning point of the reset curve is that Y=66 to reset the first brightness factor (γ) to the second brightness factor (Υ '2; since the first brightness factor (Υ) is known to be 90.75, it can be known that the second brightness factor (γ,) is 1〇5; then the scale factor (Scale) is calculated.

Scale-YVY= 105/90. 75= 1. 167 ; 在計算出比例因子為丨.167後，再將比例因子與圖像輸入值（Ri，Gi，Βι)做乘積處理後，即可知圖像輸出值 (Ko ’ Go ’ Bo)分別為 R〇 = scale x Ri = 1.167x 50 = 58.35; G〇=scale x Gi = l. 167x100=116.7; B〇 = scale x Bi = l. 167x150= 175. 〇5; °月再參考圖6c，係為圖6a經過影像處理步驟處理後之.圖像彩色圖。由上述之結果可推導出Scale-YVY= 105/90. 75= 1. 167 ; After calculating the scale factor 丨.167, and then multiplying the scale factor by the image input value (Ri, Gi, Βι), the image is known. The output values (Ko ' Go ' Bo) are R〇= scale x Ri = 1.167x 50 = 58.35; G〇=scale x Gi = l. 167x100=116.7; B〇= scale x Bi = l. 167x150= 175. 〇5; ° month and then refer to FIG. 6c, which is an image color diagram of FIG. 6a after being processed by the image processing step. Derived from the above results

Ri · Gi ： Bi = 50 ： 1〇〇 : 150=1 : 2 ： 3 =R〇 : Go : Bo=58. 35 ： 116. 7 ： 175. 〇5 ; 19 200931389Ri · Gi : Bi = 50 : 1〇〇 : 150=1 : 2 : 3 =R〇 : Go : Bo=58. 35 : 116. 7 : 175. 〇5 ; 19 200931389

所以’亦可得知經過影像處理後之圖像可有效度（Hue)。、U 此外經由直方圖之max(Ri，Gi，Bi)分析，並進> 平均圖像準位值判讀後，取得平均圖像準位值為、仃並藉由背光調變方程式計算背光調變率Bac ’ 0. 79， lm 為Therefore, it is also known that the image processed by the image is effective (Hue). U is further analyzed by the max (Ri, Gi, Bi) of the histogram, and after the average image level value is interpreted, the average image level value is obtained, and the backlight modulation is calculated by the backlight modulation equation. Rate Bac ' 0. 79, lm is

BackDimKISO/SlOHO.S =〇·79。請同時參相6d’係為® 6c經過背光調變步驟處之圖像彩色圖，也就是說需將背光之亮度將調降= 背光之亮度變為原本的79%並且將影像處理後 ° 配調降21%之背光亮度’藉以使得如圖6d所示之^ 圖像品質近似於圖6a所示之輸人圖像品f，並達至; 電之功效。 ◎ 雖然本發明以前述之實施例揭露如上，缺並並以：：本發明。在不脫離本發明之精神和範圍内，所為與潤飾，均屬本發明之專利保護範圍。關於本發月所界定之保護範圍請參考所附之申請專利範圍。【圖式簡單說明】圖1係為本發明之—較佳實施例的流程方塊圖。圖2a係為本發日綠得平像準位值方法之流程方塊圖。圖2b為本發明之另—種取得平均圖像準位值方法之流程方塊圖。 20 200931389 圖2c係為本發明擷取圖像資訊之曲線圖。圖3a係為本發明影像處理步驟之流程方塊圖。圖3b係表示本發明平均圖像準位值與背光調整率之線性關係圖。圖4係為本發明之二個不同圖像之圖像貢訊分析統計圖。圖5a係為應用於圖4中之亮度因子重置模型一。圖5b係為應用於圖4中之亮度因子重置模型二。BackDimKISO/SlOHO.S = 〇 · 79. Please also participate in the 6d's image color map at the backlight of the 6c backlight, which means that the brightness of the backlight will be adjusted down = the brightness of the backlight will be changed to 79% of the original image and the image will be processed. The backlight brightness of 21% is lowered, so that the image quality as shown in Fig. 6d is similar to that of the input image f shown in Fig. 6a, and the effect of electricity is achieved. ◎ Although the present invention has been disclosed above in the foregoing embodiments, it is not intended to be: The invention and the refinement are all within the scope of patent protection of the present invention without departing from the spirit and scope of the invention. Please refer to the attached patent application for the scope of protection as defined in this month. BRIEF DESCRIPTION OF THE DRAWINGS Figure 1 is a block diagram of a preferred embodiment of the present invention. Fig. 2a is a block diagram showing the flow of the green level image level value method. FIG. 2b is a block diagram showing another method for obtaining an average image level value according to the present invention. 20 200931389 Figure 2c is a graph of image information captured by the present invention. Figure 3a is a block diagram of the flow of the image processing steps of the present invention. Fig. 3b is a graph showing the linear relationship between the average image level value and the backlight adjustment rate of the present invention. Figure 4 is a graphical representation of the image analysis of two different images of the present invention. Figure 5a is a brightness factor reset model one applied to Figure 4. Figure 5b is a brightness factor reset model 2 applied to Figure 4.

圖5c係為應用於圖4中之亮度因子重置模型三。圖6a係為說明本發明另一實施例中的輸入圖像彩色圖。圖6b為本實施力之亮度因子重置模型之曲線圖。圖6c係為圖6a經過影像處理步驟處理後之圖像彩色圖。圖6d係為圖6c經過背光調變步驟處理後之圖像彩色圖。【主要元件符號說明】 S200 背光調變步驟 S210、S210’取得平均圖像準位值 5211 預設晝素百分比值 5212 分析圖像資訊 5213 由高灰階值向低灰階值累加每一灰階值之晝素數量，以得到累加畫素數 21 200931389Figure 5c is a luminance factor reset model three applied to Figure 4. Figure 6a is a color diagram of an input image illustrating another embodiment of the present invention. Figure 6b is a graph of the brightness factor reset model of the present embodiment. Figure 6c is an image color diagram of Figure 6a after being processed by an image processing step. Figure 6d is an image color diagram of Figure 6c after being processed by a backlight modulation step. [Main component symbol description] S200 backlight modulation steps S210, S210' obtain average image level value 5211 preset pixel percentage value 5212 analysis image information 5213 accumulate each gray scale from high gray level value to low gray level value The number of pixels in the value to get the cumulative number of pixels 21 200931389

S214 量判斷累加晝素數量是否等於總晝素數 S215 量與晝素百分比值之乘積或大於總晝素數量與晝素百分比值之乘積的最小整數量擷取平均圖像準位值 S216 取得晝素百分比差值 S217 由低灰階值向高灰階值累加每一灰階值之晝素數量，以得到累加晝素數 S218 量判斷累加晝素數量是否等於總晝素數 - 量與晝素百分比差值之乘積或大於總晝素數量與晝素百分比差值之乘積的最小整數量 S219 擷取平均圖像準位值 S220 取得背光調變率 S221 設定變數值 S222 取得最大平均圖像準位值 S223 取得參考值 S224 取得背光調變率 S300 影像處理步驟 S310 取得第一亮度因子 S320 建立亮度因子重置模型 S330 根據亮度因子重置模型將第一亮度因 22 200931389 亮度因子子重置為一第二 S340 取得比例因子 S350 取得圖像輸出值S214 determines whether the accumulated number of halogens is equal to the product of the total number of primes S215 and the percentage of the percentage of the halogen, or the minimum integer quantity of the product of the total number of elements and the percentage of the percentage of the primes. The average image level value S216 is obtained. The prime percentage difference S217 accumulates the number of pixels of each gray scale value from the low gray scale value to the high gray scale value to obtain the cumulative prime number S218 to determine whether the cumulative number of halogen elements is equal to the total prime number - quantity and element The product of the percentage difference or the minimum integer quantity of the product of the total number of elements and the percentage of the percentage of the elemental percentage S219. The average image level value S220 is obtained. The backlight modulation rate S221 is obtained. The variable value S222 is set to obtain the maximum average image level. The value S223 obtains the reference value S224 and obtains the backlight modulation rate S300. The image processing step S310 obtains the first brightness factor S320. The brightness factor reset model S330 is established. According to the brightness factor reset model, the first brightness factor 22 is changed to a brightness factor of 22 200931389. Second S340 obtains the scale factor S350 to obtain the image output value

23twenty three

Claims

200931389 十、申請專利範圍： 1. 一種背光調變與影像處理方法，其包括下列步驟：分析一圖像資訊以取得一平均圖像準位值後再藉由 ' 運算該平均圖像準位值取得一背光調變率；以及由分析該圖像資訊得到一第一亮度因子，根據一亮度因子重置模型將該第一亮度因子重置為一第二亮度因子後'，取得一比例因子，該比例因子為該第二亮度因子與該第一亮度因子之比值，再將該比例因子與該圖像資〇訊之一圖像輸入值運算後，得到一圖像輸出值；藉此，根據該背光調變率以調變背光亮度並根據該圖像輸出值處理影像。 2. 如申請專利範圍第1項所述之方法，其中取得該平均圖像準位值之方法係包括下列步驟：預.設一晝素百分比值；分析該圖像資訊，取得一分析統計資訊及一總晝素數量；由高灰階值向低灰階值累加每一灰階值之一晝素數量，以得到一累加晝素數量；判斷該累加晝素數量是否等於該總晝素數量與該晝 ‘素百分比值之乘積或大於總晝素數量與晝素百分比值之乘積的最小整數量；以及當該累加畫素數量等於該總畫素數量與該晝素百分比值之乘積或大於總晝素數量與畫素百分比值之乘積的最小整數量時，則擷取該灰階值作為該平均圖像準位值。 24 200931389 3.如申請專利範圍第1項所述之方法，其中取得該平均圖像準位值之方法係包括下列步驟：預設一晝素百分比值；取得一晝素百分比差值，其係以1減去該晝素百分比值而得；分析該圖像資訊，取得一分析統計資訊及一總晝素數量；200931389 X. Patent application scope: 1. A backlight modulation and image processing method, comprising the following steps: analyzing an image information to obtain an average image level value, and then calculating the average image level value by ' Obtaining a backlight modulation rate; and obtaining a first brightness factor by analyzing the image information, and resetting the first brightness factor to a second brightness factor according to a brightness factor resetting model to obtain a scale factor, The scale factor is a ratio of the second brightness factor to the first brightness factor, and the scale factor is calculated by the image input value of the image resource to obtain an image output value; The backlight modulation rate is used to modulate the brightness of the backlight and process the image based on the image output value. 2. The method of claim 1, wherein the method for obtaining the average image level value comprises the steps of: pre-setting a percentage value of a pixel; analyzing the image information to obtain an analysis statistical information And a total number of pixels; accumulating a quantity of each gray level from a high gray level value to a low gray level value to obtain a cumulative number of elements; determining whether the accumulated quantity of the element is equal to the total number of elements a product that is the product of the percentage value of the prime or greater than the minimum integer product of the total number of elements and the percentage of the percentage of the element; and when the number of accumulated pixels is equal to the product of the total number of pixels and the percentage of the percentage of the element When the minimum number of products of the total number of pixels and the percentage value of the pixels is used, the gray level value is taken as the average image level value. The method of claim 1, wherein the method for obtaining the average image level value comprises the steps of: presetting a percentage of a single pixel; obtaining a percentage difference of a single element, Obtaining the percentage value of the halogen by 1; analyzing the image information to obtain an analytical statistical information and a total number of elements;

4. 由低灰階值向高灰階值累加每一灰階值之一畫素數量，.以得到一累加晝素數量；判斷該累加晝素數量是否等於該總晝素數量與該晝素百分比差值之乘積或大於總晝素數量與晝素百分比差值之乘積的最小整數量；以及當該累加晝素數量等於該總晝素數量與該晝素百分比差值之乘積或大於總畫素數量與畫素百分比差值之乘積的最小整數量時，則擷取該灰階值作為該平均圖傻準位值。 y丨豕如申請專利範圍第1項所述之方法變率之方法係包括下列步驟：設定一變數值；訊句圖像準位值，其係藉由讀取該圖）〜像貝料位元數η後計算而得；取得參考值，該參考值係大於該最值除以1鱼兮镦奴从日日ν 取a十均圖像2 數，咬大料隸之值，㈣參考值為数次大於最大平像準位值除之最小整數值；以及，、變數值間i 25 200931389 取得該背光調變率’其係將該平均圖像準位值除以該參考值後再加上該變數值，藉此取得該背光調變率。 5. 如申請專利範圍^項所述之方法，其中該第一亮度因子係為將該圖像資訊由一 RGB色彩模型轉換為一丽色彩模型後擷取而得，其中該第一亮度因子即為該,色彩模型中之亮度因子。 Ο 6. 如:請專利範圍第i項所述之方法，其中該亮度因子重置杈型係為一重置曲線，該曲線具有一轉折點。 7. 如申請專利範圍第6項所述之方法，其中該亮置^為當該第-亮度因子大於該轉折點時，則該第二冗度因子大於該第一亮度因子。 8·如申請專鄕圍第6項所狀枝置;型為當該第-亮度因子小於該轉折重免度因子小於或等於該第一亮度因子。吁、卜弟一 I ==以項所述之方法，其中該亮度因子重免度因子等於該第-亮度因子。 -㈣弟一 W·如申請專利範圍第丨項所述之將該第二亮度因子除以該第一亮戶因子$比例因子係 U.如申請專利範圍第i項所述之方十异而付。係為將該圖像輸入值與該比例因子相乘而^像輸出值 264. Accumulating the number of pixels of each gray scale value from the low gray scale value to the high gray scale value, to obtain a cumulative amount of halogen elements; determining whether the accumulated number of halogen elements is equal to the total number of halogen elements and the halogen element The product of the percentage difference or the minimum integer quantity of the product of the total number of elements and the percentage of the percentage of the element; and when the number of accumulated elements is equal to the product of the total number of elements and the percentage difference of the element, or greater than the total picture When the minimum quantity of the product of the prime quantity and the pixel percentage difference is obtained, the gray level value is taken as the average figure silo level value. y 申请 The method of applying the method variability as described in item 1 of the patent scope includes the following steps: setting a variable value; the image image level value, which is read by the image Calculated after the η; obtain the reference value, the reference value is greater than the maximum value divided by 1 fish 兮镦 slave from the day ν take a ten average image 2, bite the value of the material, (four) reference value a number of times greater than the maximum flat image level value divided by the smallest integer value; and, between the variable values i 25 200931389 to obtain the backlight modulation rate 'which is the average image level value divided by the reference value and then added The variable value is obtained, thereby obtaining the backlight modulation rate. 5. The method of claim 2, wherein the first brightness factor is obtained by converting the image information from an RGB color model to a color model, wherein the first brightness factor is For this, the brightness factor in the color model. Ο 6. For example, the method of claim i, wherein the brightness factor reset type is a reset curve having a turning point. 7. The method of claim 6, wherein the brightness is such that when the first brightness factor is greater than the turning point, the second redundancy factor is greater than the first brightness factor. 8. If the application is for the purpose of item 6; the type is when the first-lightness factor is less than or equal to the first brightness factor.于,卜弟一 I == The method described in the item, wherein the brightness factor reassurance factor is equal to the first brightness factor. - (4) Dior-W. The second brightness factor is divided by the first bright-hub factor and the scale factor as described in the second paragraph of the patent application scope. U. pay. The image input value is multiplied by the scale factor and the image output value is 26