JPH06339017A - Saturation emphasizing method and device for color picture - Google Patents
Saturation emphasizing method and device for color pictureInfo
- Publication number
- JPH06339017A JPH06339017A JP5128570A JP12857093A JPH06339017A JP H06339017 A JPH06339017 A JP H06339017A JP 5128570 A JP5128570 A JP 5128570A JP 12857093 A JP12857093 A JP 12857093A JP H06339017 A JPH06339017 A JP H06339017A
- Authority
- JP
- Japan
- Prior art keywords
- saturation
- value
- maximum
- coefficient
- image
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Granted
Links
Abstract
Description
【０００１】[0001]
【産業上の利用分野】本発明は、テレビジョン、スキャ
ナ、ファクシミリ等において、画像の色の彩度を調節す
る技術に関する。BACKGROUND OF THE INVENTION 1. Field of the Invention The present invention relates to a technique for adjusting the color saturation of an image in a television, a scanner, a facsimile or the like.
【０００２】[0002]
【従来の技術】従来、カラー画像の彩度を強調するに
は、ＲＧＢのデータを明度、彩度、色相の３つの成分に
分解し、彩度の成分だけをルックアップテーブル（ＬＵ
Ｔ）を用いて変換し、その後ＲＧＢの逆変換するという
手法がとられていた。2. Description of the Related Art Conventionally, in order to emphasize the saturation of a color image, RGB data is decomposed into three components of lightness, saturation and hue, and only the saturation component is looked up in a lookup table (LU).
T) is used for conversion, and then RGB reverse conversion is performed.
【０００３】一例として、図５に示すように、入力画像
メモリ４１のＲＧＢデータを、色座標変換手段４２で例
えばＬ* Ｃ* Ｈ* 座標に変換し、彩度Ｃ* を彩度変換手
段４６で変換した後、色座標逆変換手段４７でＲＧＢに
逆変換する。彩度変換手段４６の例としては、図６の彩
度変換関数４９のような特性をもつルックアップテーブ
ルを参照して彩度を変換する方法がある。ＲＧＢからＬ
* Ｃ* Ｈ* への変換式は、文献ＪＩＳ−Ｚ８７２９など
に詳しい。As an example, as shown in FIG. 5, the RGB data in the input image memory 41 is converted into, for example, L * C * H * coordinates by the color coordinate conversion means 42, and the saturation C * is converted into the saturation conversion means 46. Then, the color coordinate reverse conversion means 47 performs reverse conversion into RGB. As an example of the saturation conversion means 46, there is a method of converting the saturation by referring to a lookup table having characteristics such as the saturation conversion function 49 of FIG. RGB to L
The conversion formula to * C * H * is described in detail in the document JIS-Z8729.
【０００４】[0004]
【発明が解決しようとする課題】従来のカラー画像の彩
度強調装置は、ＲＧＢ信号から明度、彩度、色相の成分
に分解する変換処理が必要であり、計算時間やメモリが
多く必要であるという欠点があった。A conventional color image saturation enhancement apparatus requires conversion processing for decomposing RGB signals into lightness, saturation, and hue components, which requires a large amount of calculation time and memory. There was a drawback.
【０００５】また、出力画像の高画質化を図るために
は、彩度成分を変換するＬＵＴを最適に決定しなければ
ならないが、従来これをマニュアルによって調節しなけ
ればならないという欠点があった。Further, in order to improve the image quality of the output image, the LUT for converting the saturation component must be optimally determined, but conventionally there is a drawback that this must be manually adjusted.
【０００６】本発明の目的は、上記の欠点を解決し、非
常に高速で、メモリが少なくて済む彩度強調装置を提供
することである。さらに、高画質化を図るための彩度強
調を自動的に行うことができる彩度強調装置を提供する
ことである。SUMMARY OF THE INVENTION It is an object of the present invention to solve the above drawbacks and to provide a chroma enhancement device which is very fast and requires less memory. Another object of the present invention is to provide a saturation emphasizing device capable of automatically performing saturation emphasis for high image quality.
【０００７】[0007]
【課題を解決するための手段】第１の発明のカラー画像
の彩度強調方法は、カラー画像の各画素のＲ，Ｇ，Ｂ値
の最大値をＩとし、Ｉと各Ｒ，Ｇ，Ｂ値との差に強調係
数を乗じ、その結果をＩから減算したものを新しいＲ，
Ｇ，Ｂ値とすることによって、画像の彩度を強調するこ
とを特徴とする。According to a first aspect of the present invention, there is provided a color image saturation enhancement method, wherein I is a maximum value of R, G and B values of each pixel of the color image, and I and each R, G and B value. The difference from the value is multiplied by the emphasis coefficient, and the result is subtracted from I to obtain a new R,
It is characterized in that the saturation of the image is emphasized by setting the G and B values.
【０００８】第２の発明のカラー画像の彩度強調方法
は、第１の発明において、カラー画像の各画素のＲ，
Ｇ，Ｂ値の最大値をＩ、最小値をｉとし、Ｉとｉの差を
Ｉで除した値である彩度を各画素ごとに計算し、画像内
での彩度最大値あるいは画像内の明度の高い領域での彩
度最大値を求め、彩度最大値の関数として前記強調係数
を決定することを特徴とする。A color image saturation enhancement method according to a second aspect of the present invention is the same as the first aspect of the present invention, wherein R,
The maximum value of the G and B values is I, the minimum value is i, and the difference between I and i is divided by I to calculate the saturation for each pixel, and the maximum saturation value in the image or the saturation value in the image is calculated. The maximum saturation value is obtained in a high lightness region, and the enhancement coefficient is determined as a function of the maximum saturation value.
【０００９】第３の発明のカラー画像の彩度強調方法
は、第１の発明において、カラー画像の各画素のＲ，
Ｇ，Ｂ値の最大値をＩ、最小値をｉとし、Ｉとｉの差を
Ｉで除した値である彩度を各画素ごとに計算し、求めら
れた彩度の画像データに低域濾過作用を施した画像内で
の彩度最大値あるいは画像内の明度の高い領域での彩度
最大値を求め、彩度最大値の関数として前記強調係数を
決定することを特徴とする。According to a third aspect of the present invention, there is provided a color image saturation enhancement method according to the first aspect, wherein R,
The maximum value of the G and B values is I, the minimum value is i, the difference between I and i is divided by I, and the saturation is calculated for each pixel. It is characterized in that the maximum saturation value in the filtered image or the maximum saturation value in a high lightness region in the image is obtained, and the enhancement coefficient is determined as a function of the maximum saturation value.
【００１０】第４の発明のカラー画像の彩度強調装置
は、入力カラー画像メモリから、各画素ごとに、Ｒ，
Ｇ，Ｂの最大値Ｉを算出する最大値算出手段と、強調係
数ａを入力する係数入力手段と、各画素ごとにＩと各Ｒ
ＧＢ値との差に強調係数ａを乗じ、その結果をＩから減
算したものを新しいＲ，Ｇ，Ｂ値とする演算を施すＲＧ
Ｂ画素演算手段とからなることを特徴とする。A color image saturation enhancing apparatus according to a fourth aspect of the present invention provides an R, R,
Maximum value calculation means for calculating the maximum value I of G and B, coefficient input means for inputting the emphasis coefficient a, I and R for each pixel
RG that multiplies the difference from the GB value by the emphasis coefficient a and subtracts the result from I to obtain new R, G, B values
It is characterized by comprising B pixel calculating means.
【００１１】第５の発明のカラー画像の彩度強調装置
は、第４の発明において、係数入力手段の代わりに、入
力カラー画像メモリから各画素のＲ，Ｇ，Ｂの最大値Ｉ
と最小値ｉを算出し、最大値Ｉと最小値ｉの差を最大値
Ｉで除算する演算を施すことによって彩度を算出する彩
度算出手段と、彩度算出手段の出力をストアする彩度画
像メモリと、彩度画像メモリ内での最大値として彩度最
大値を抽出する彩度最大値抽出手段と、彩度最大値の関
数として強調係数ａを算出する強調係数算出手段とをも
つことを特徴とする。According to a fifth aspect of the present invention, in the color image saturation emphasizing apparatus according to the fourth aspect, the maximum value I of R, G, B of each pixel is input from the input color image memory instead of the coefficient input means.
And a minimum value i, and a saturation calculation unit that calculates the saturation by performing a calculation of dividing the difference between the maximum value I and the minimum value i by the maximum value I, and a color that stores the output of the saturation calculation unit. Saturation image memory, maximum saturation value extraction means for extracting the maximum saturation value as the maximum value in the saturation image memory, and emphasis coefficient calculation means for calculating the emphasis coefficient a as a function of the maximum saturation value. It is characterized by
【００１２】第６の発明のカラー画像の彩度強調装置
は、第４の発明において、係数入力手段の代わりに、入
力カラー画像メモリから各画素４のＲ，Ｇ，Ｂの最大値
Ｉと最小値ｉを算出し、最大値Ｉと最小値ｉの差を最大
値Ｉで除算する演算を施すことによって彩度を算出する
彩度算出手段と、彩度算出手段の出力をストアする彩度
画像メモリと、入力カラー画像メモリから各画素の明度
を算出する明度算出手段と、明度算出手段の出力をスト
アする明度画像メモリと、明度画像メモリと彩度画像メ
モリの値を参照し、明度が一定範囲にある画素での彩度
の最大値として、彩度最大値を抽出する彩度最大値抽出
手段と、彩度最大値の関数として強調係数ａを算出する
強調係数算出手段とをもつことを特徴とする。According to a sixth aspect of the present invention, in the color image saturation enhancing apparatus according to the fourth aspect of the present invention, the maximum value I and the minimum value of R, G, B of each pixel 4 from the input color image memory are used instead of the coefficient input means. A saturation calculation unit that calculates a value i and performs a calculation of dividing a difference between the maximum value I and the minimum value i by the maximum value I, and a saturation image that stores an output of the saturation calculation unit. The brightness is constant by referring to the memory, the brightness calculation unit that calculates the brightness of each pixel from the input color image memory, the brightness image memory that stores the output of the brightness calculation unit, and the values of the brightness image memory and the saturation image memory. As a maximum value of the saturation in the pixels in the range, a maximum saturation value extracting means for extracting the maximum saturation value and an emphasis coefficient calculating means for calculating an emphasis coefficient a as a function of the maximum saturation value are provided. Characterize.
【００１３】第７の発明のカラー画像の彩度強調装置
は、第５又は第６の発明において、彩度画像メモリの後
段に彩度画像データに低域濾過作用を施す濾過作用手段
をもつことを特徴とする。The color image saturation emphasizing apparatus according to the seventh aspect of the present invention is the color image saturation enhancing apparatus according to the fifth or sixth aspect, further comprising a filtering operation unit that performs a low-pass filtering operation on the saturation image data after the saturation image memory. Is characterized by.
【００１４】第８の発明のカラー画像の彩度強調装置
は、第５，第６又は第７の発明における強調係数算出手
段が、彩度最大値Ｓm a x の関数として、ａ＝１／Ｓ
m a x の演算によって強調係数ａを算出することを特徴
とする。In the saturation enhancing apparatus for color image of the eighth invention, the enhancement coefficient calculating means in the fifth, sixth or seventh invention has a = 1 / S as a function of the maximum saturation S max.
The feature is that the emphasis coefficient a is calculated by calculating max .
【００１５】[0015]
【作用】以下に、第１の発明であるカラー画像の彩度強
調方法の原理について説明する。The principle of the color image saturation enhancement method according to the first aspect of the present invention will be described below.
【００１６】図７は本発明の彩度強調方法の原理を説明
するための図であり、彩度強調前後のＲ，Ｇ，Ｂ値の変
化を示す。強調前のＲＧＢの最大値５１をＩ、強調前の
ＲＧＢの中間値５２ｍ、強調前のＲＧＢの最小値５３を
ｉとすると強調前のこの画素の白色成分は、図７のＷで
表される白色成分５５となる。白色成分５５はＲ，Ｇ，
Ｂのそれぞれに、ｉと同じ値で含まれる。よってこの画
素の色成分５８は、白色成分５５をＲＧＢからそれぞれ
減算した残りの成分である。FIG. 7 is a diagram for explaining the principle of the saturation enhancement method of the present invention, showing changes in R, G and B values before and after the saturation enhancement. When the maximum value 51 of RGB before emphasis is I, the intermediate value 52m of RGB before emphasis is i, and the minimum value 53 of RGB before emphasis is i, the white component of this pixel before emphasis is represented by W in FIG. It becomes the white component 55. The white component 55 is R, G,
Each of B contains the same value as i. Therefore, the color component 58 of this pixel is the remaining component obtained by subtracting the white component 55 from RGB.
【００１７】本発明の彩度強調方法は、画素値の中の色
成分の割合を増加させるために白色成分５５の割合を低
下させる処理を行う。The saturation enhancement method of the present invention performs a process of decreasing the ratio of the white component 55 in order to increase the ratio of the color component in the pixel value.
【００１８】本処理では最大値５１がその画素の明度を
代表するものであると考え、強調の前後で最大値５１は
変化しないものとする。また、強調の前後で色相を保存
するため、色成分５８内の２つの成分の割合は変化しな
いものとする。つまり最大値と中間値の差５６と中間値
と最小値の差５７の比は、強調前後で一定である。In this processing, the maximum value 51 is considered to represent the brightness of the pixel, and the maximum value 51 does not change before and after the enhancement. Further, since the hue is preserved before and after the emphasis, the ratio of the two components in the color component 58 does not change. That is, the ratio of the difference 56 between the maximum value and the intermediate value and the difference 57 between the intermediate value and the minimum value is constant before and after the emphasis.
【００１９】よって本発明の彩度強調方法は、強調パラ
メータとして強調係数５９（記号はａとする）を用い
る。強調後の最大値６１（Ｉ’）と強調後の最小値６３
（ｉ’）と強調後の中間値６２（ｍ’）は次式の演算に
よって得られる。Therefore, the saturation enhancement method of the present invention uses the enhancement coefficient 59 (symbol is a) as the enhancement parameter. Maximum value 61 (I ') after emphasis and minimum value 63 after emphasis
(I ') and the intermediate value 62 (m') after emphasis are obtained by the calculation of the following equation.
【００２０】 Ｉ’＝Ｉ， ｍ’＝Ｉ−（Ｉ−ｍ）ａ， ｉ’＝ｉ−（Ｉ−ｉ）ａ （１） 以上より強調係数５９が１．０より大きいときは強調後
の白色成分６５は強調前の白色成分５５よりも少なくな
り、彩度が強調される。強調係数５９が１．０より小さ
いときは強調後の白色成分６５は強調前の白色成分５５
よりも大きくなり、彩度が低下する。強調係数５９が
１．０のときは強調前後で色の変化はない。強調係数５
９が０．０のときは強調後の画素は無彩色となる。また
強調後の、最大値と中間値の差６６と中間値と最小値の
差６７の比は、強調前と同じであり、色相が保存される
ことが分かる。I ′ = I, m ′ = I− (I−m) a, i ′ = i− (I−i) a (1) From the above, when the enhancement coefficient 59 is greater than 1.0, the post-emphasis is performed. The white component 65 is less than the white component 55 before the enhancement, and the saturation is enhanced. When the emphasis coefficient 59 is smaller than 1.0, the white component 65 after emphasis is the white component 55 before emphasis.
And the saturation is reduced. When the enhancement coefficient 59 is 1.0, there is no color change before and after the enhancement. Emphasis factor 5
When 9 is 0.0, the emphasized pixel is achromatic. Further, it can be seen that the ratio of the difference 66 between the maximum value and the intermediate value and the difference 67 between the intermediate value and the minimum value after the enhancement is the same as that before the enhancement, and the hue is preserved.
【００２１】以下に、第２の発明であるカラー画像の彩
度強調方法の原理について説明する。The principle of the color image saturation enhancement method of the second invention will be described below.
【００２２】本発明は、第１の発明のカラー画像の彩度
強調方法において強調係数を決定するための方法を付加
したものである。The present invention is the addition of a method for determining an emphasis coefficient in the color image saturation emphasis method of the first invention.
【００２３】入力カラー画像の各画素のＲ，Ｇ，Ｂ値の
最大値をＩ、最小値をｉとすると、Ｉとｉの差をＩで除
した値を、その画素の彩度Ｓとする。When the maximum value of the R, G, B values of each pixel of the input color image is I and the minimum value is i, the value obtained by dividing the difference between I and i by I is the saturation S of that pixel. .
【００２４】 Ｓ＝（Ｉ−ｉ）／Ｉ （２） この彩度の値は、図７において、最大値５１の中の、白
色成分５５を除いた部分の割合を示すものであり、彩度
の定義として妥当である。この彩度は０．０から１．０
までの範囲で定義される。S = (I−i) / I (2) This saturation value indicates the ratio of the part excluding the white component 55 in the maximum value 51 in FIG. Is a valid definition of. This saturation is 0.0 to 1.0
It is defined in the range up to.
【００２５】次に彩度を各画素ごとに計算し、画像内で
の彩度の最大値Ｓm a x を求める。そして彩度の最大値
Ｓm a x の関数として強調係数５９を得る。Next, the saturation is calculated for each pixel, and the maximum value S max of the saturation in the image is obtained. Then, the enhancement coefficient 59 is obtained as a function of the maximum value S max of the saturation.
【００２６】図８は強調係数を得るための関数の一例を
示す。横軸のＳm a x は彩度の最大値であり、縦軸は強
調係数である。関数としては第一の関数７１や、第二の
関数７２のような例がある。実際の装置では関数をルッ
クアップテーブルとして記憶しておき、必要に応じて参
照する方法をとることができる。FIG. 8 shows an example of a function for obtaining the emphasis coefficient. S max on the horizontal axis is the maximum value of saturation, and the vertical axis is the emphasis coefficient. Examples of the function include a first function 71 and a second function 72. In an actual device, a function may be stored as a look-up table and referred to as needed.
【００２７】また、図９のように横軸に入力画像の彩度
Ｓをとり、縦軸に出力画像の彩度Ｓ’をとると、図６の
強調係数５９は、図９のグラフにおいて、原点を通る直
線の傾きを表すことになる。そこで、入力画像の彩度が
Ｓm a x である画素を、出力では彩度１．０にしようと
すると、図９の彩度変換関数８１のように傾きが１／Ｓ
m a x の直線となるから、強調係数ａは、次式で表せ
る。When the saturation S of the input image is plotted on the horizontal axis and the saturation S'of the output image is plotted on the vertical axis as shown in FIG. 9, the emphasis coefficient 59 in FIG. It represents the slope of a straight line passing through the origin. Therefore, if a pixel whose saturation of the input image is S max is set to 1.0 in the output, the inclination is 1 / S as in the saturation conversion function 81 of FIG.
Since it is a straight line of max , the emphasis coefficient a can be expressed by the following equation.
【００２８】 ａ＝１／Ｓm a x （３） これを図８のグラフに表すと、第二の関数７２のような
形になる。A = 1 / S max (3) When this is expressed in the graph of FIG. 8, it has a form like the second function 72.
【００２９】また、彩度の最大値Ｓm a x を求めるのに
入力画像の画面全体の彩度の最大値を求めるのではな
く、画像の明度の高い部分における彩度の最大値を求め
る方法がある。式（２）による彩度の定義を用いると、
明度が低いところでは彩度がいくら大きくなっても色は
あざやかにならない。よって明度の高いところだけを、
対象にしてＳm a x を求めることで、人間の色知覚に適
応した強調係数ａの決定ができる。Further, there is a method of obtaining the maximum value of the saturation in the high lightness portion of the image, instead of obtaining the maximum value of the saturation of the entire screen of the input image to obtain the maximum value S max of the saturation. . Using the saturation definition from equation (2),
In low lightness, no matter how large the saturation is, the color does not become vivid. Therefore, only where the brightness is high,
By obtaining S max as a target, the enhancement coefficient a adapted to human color perception can be determined.
【００３０】以上のように強調係数の決定をすると、こ
の値をもとに第１の発明の彩度強調方法によって彩度を
強調する。When the emphasis coefficient is determined as described above, the saturation is emphasized by the saturation emphasis method of the first invention based on this value.
【００３１】以下に、第３の発明である画像の彩度強調
方法の原理について説明する。本発明は、第２の発明の
画像の彩度強調方法において強調係数を決定するための
方法を変更したものである。The principle of the image saturation enhancement method of the third invention will be described below. The present invention is a modification of the method for determining the enhancement coefficient in the image saturation enhancement method of the second invention.
【００３２】本発明では、入力画像ごとに彩度を計算し
た後に、低域濾過作用を施す。その出力である低域彩度
画像から、彩度の最大値Ｓm a x を求める。以下の処理
は、第２の発明の彩度強調方法と同じである。In the present invention, after the saturation is calculated for each input image, the low-pass filtering action is performed. From the output low-frequency saturation image, the maximum saturation S max is obtained. The following processing is the same as the saturation enhancement method of the second invention.
【００３３】人間の感覚に関する知験によれば、画像の
彩度については、低周波成分の影響が高周波成分に比べ
て非常に大きいことが分かっている。よって低周波を濾
過しても、彩度に関する影響はほとんどなく、逆に、入
力画像にノイズ成分が含まれるときには、それらの影響
を取り除くことが可能となる。According to the knowledge about human sense, it is known that the influence of the low frequency component is much larger than that of the high frequency component on the saturation of the image. Therefore, even if the low frequency is filtered, there is almost no effect on the saturation, and conversely, when the input image contains a noise component, it is possible to remove the effect.
【００３４】[0034]
【実施例】以下に、本発明の実施例である画像の彩度強
調装置を図面を用いて説明する。DETAILED DESCRIPTION OF THE PREFERRED EMBODIMENTS An image saturation enhancing apparatus according to an embodiment of the present invention will be described below with reference to the drawings.
【００３５】図１に第４の発明である画像の彩度強調装
置の一実施例を示す。入力画像メモリ１のＲ，Ｇ，Ｂデ
ータから、最大値算出手段２によって、各画素ごとに、
Ｒ，Ｇ，Ｂの最大値Ｉを算出する。FIG. 1 shows an embodiment of an image saturation enhancing apparatus according to the fourth invention. From the R, G, and B data of the input image memory 1, the maximum value calculation means 2 calculates each pixel,
The maximum value I of R, G and B is calculated.
【００３６】またあらかじめ係数入力手段５から強調係
数ａを入力しておく。Further, the emphasis coefficient a is input from the coefficient input means 5 in advance.
【００３７】そしてＲＧＢ画素演算手段３において、入
力画像メモリ１の各画素ごとに最大値Ｉと各ＲＧＢ値と
の差に強調係数ａを乗じ、その結果をＩから減算する演
算を施す。そしてＲＧＢ画素演算手段３の出力を新しい
Ｒ，Ｇ，Ｂ値として出力画像メモリ４にストアする。Then, in the RGB pixel calculation means 3, the difference between the maximum value I and each RGB value is multiplied by the emphasis coefficient a for each pixel of the input image memory 1, and the result is subtracted from I. Then, the output of the RGB pixel calculation means 3 is stored in the output image memory 4 as new R, G, B values.
【００３８】図２に第５の発明である画像の彩度強調装
置の一実施例を示す。前記第４の発明の画像の彩度強調
装置において、係数入力手段５の代わりに、以下の係数
算出手段１４を持つ。FIG. 2 shows an embodiment of the image saturation enhancing apparatus of the fifth invention. The image saturation enhancing apparatus according to the fourth aspect of the invention has the following coefficient calculating means 14 instead of the coefficient inputting means 5.
【００３９】係数算出手段１４は、入力画像メモリ１か
ら、彩度算出手段１１によって彩度を算出し、彩度画像
メモリ１２に出力をストアする。彩度の算出手段１１
は、入力画像メモリ１の画素毎に、ＲＧＢの最大値Ｉと
最小値ｉを算出し、（Ｉ−ｉ）／Ｉの演算を行って彩度
を算出する。次に彩度最大値抽出手段１３によって、彩
度画像メモリ１２の中の最大値として彩度最大値Ｓ
m a x を抽出する。The coefficient calculating means 14 calculates the saturation from the input image memory 1 by the saturation calculating means 11 and stores the output in the saturation image memory 12. Saturation calculation means 11
Calculates the maximum value I and the minimum value i of RGB for each pixel of the input image memory 1 and calculates the saturation by calculating (I−i) / I. Next, the maximum saturation value extraction unit 13 sets the maximum saturation value S as the maximum value in the saturation image memory 12.
Extract max .
【００４０】そして強調係数ａは、彩度最大値変化手段
１５によって彩度最大値Ｓm a x の関数として得られ
る。彩度最大値変換手段１５の例としては、図８の第一
の関数７１や第二の関数７２のような関数を、プログラ
ムされた数学式によって変換する装置や、あらかじめデ
ータを記憶しておき、ルックアップテーブルとして参照
する装置などがある。The emphasis coefficient a is obtained by the saturation maximum value changing means 15 as a function of the saturation maximum value S max . As an example of the saturation maximum value conversion means 15, a device for converting a function such as the first function 71 or the second function 72 of FIG. 8 by a programmed mathematical formula, or data stored in advance. , A device referred to as a lookup table, and the like.
【００４１】得られた強調係数ａをもとに、第４の発明
の画像の彩度強調装置と同じ方法によって各画素に演算
を施し、彩度を強調する。Based on the obtained enhancement coefficient a, each pixel is calculated by the same method as in the image saturation enhancing apparatus of the fourth invention to enhance the saturation.
【００４２】図３に第６の本発明の画像の彩度強調装置
の一実施例を示す。前記第４の発明の画像の彩度強調装
置において、係数入力手段５の代わりに、以下の係数算
出手段２４を持つ。FIG. 3 shows an embodiment of an image saturation enhancing apparatus of the sixth invention. The image saturation enhancing apparatus according to the fourth aspect of the invention has the following coefficient calculating means 24 instead of the coefficient inputting means 5.
【００４３】係数算出手段２４は、入力画像メモリ１か
ら、彩度算出手段１１によって彩度を算出し、彩度画像
メモリ１２に出力をストアする。また、同時に入力画像
メモリ１から明度算出手段２１によって各画素のＲＧＢ
の最大値Ｉを明度画像メモリ２２にストアする。最大値
Ｉがその画素の明度を代表するものであると考えること
は、作用の項でのべた。The coefficient calculating means 24 calculates the saturation from the input image memory 1 by the saturation calculating means 11 and stores the output in the saturation image memory 12. At the same time, the RGB value of each pixel is read from the input image memory 1 by the brightness calculating means 21.
The maximum value I of is stored in the brightness image memory 22. Considering that the maximum value I is representative of the brightness of the pixel has been described in the section of action.
【００４４】彩度の算出手段１１は、入力画像メモリ１
の画素毎に、ＲＧＢの最大値Ｉと最小値ｉを算出し、
（Ｉ−ｉ）／Ｉの演算を行って彩度を算出する。The saturation calculating means 11 is the input image memory 1
The maximum value I and the minimum value i of RGB are calculated for each pixel of
(I-i) / I is calculated to calculate the saturation.
【００４５】次に彩度最大値抽出手段２３によって、明
度画像メモリ２２を参照しながら、明度の高い領域にお
ける彩度の最大値として彩度最大値Ｓm a x を求める。
明度を考慮する理由は、作用の項に述べた。Next, the maximum saturation value extraction means 23 refers to the brightness image memory 22 to obtain the maximum saturation value S max as the maximum saturation value in the high brightness area.
The reason for considering the brightness is described in the section of action.
【００４６】そして強調係数ａは、彩度最大値変換手段
１５によって彩度最大値Ｓm a x の関数として得られ
る。彩度最大値変換手段１５の例は第５の発明の彩度強
調装置の項で述べた。The emphasis coefficient a is obtained by the saturation maximum value conversion means 15 as a function of the saturation maximum value S max . An example of the saturation maximum value conversion means 15 has been described in the section of the saturation emphasis device of the fifth invention.
【００４７】得られた強調係数６をもとに、第４の発明
の画像の彩度強調装置と同じ方法によって各画素に演算
を施し、彩度を強調する。Based on the obtained enhancement coefficient 6, each pixel is calculated by the same method as the image saturation enhancing apparatus of the fourth aspect of the invention to enhance the saturation.
【００４８】図４に第７の本発明の画像の彩度強調装置
の一実施例を示す。図４は図２の係数算出手段１４を置
き換えたものである。本発明は前記第５、第６の発明の
画像の彩度強調装置において、彩度画像メモリ１２のデ
ータに対し、低域濾過手段３１によって低域濾過作用を
施す。FIG. 4 shows an embodiment of the image saturation emphasizing apparatus of the seventh invention. FIG. 4 replaces the coefficient calculating means 14 of FIG. According to the present invention, in the image saturation emphasizing device of the fifth and sixth inventions, the low-pass filtering means 31 applies a low-pass filtering action to the data in the saturation image memory 12.
【００４９】以後は第５、第６の発明の画像の彩度強調
装置と同様にして強調係数ａを得る。そして得られた強
調係数ａをもとに、第４の発明の画像の彩度強調装置と
同じ方法によって各画素に演算を施し、彩度を強調す
る。Thereafter, the enhancement coefficient a is obtained in the same manner as in the image saturation enhancing device of the fifth and sixth inventions. Then, based on the obtained enhancement coefficient a, each pixel is calculated by the same method as the image saturation enhancing apparatus of the fourth aspect of the invention to enhance the saturation.
【００５０】なお第６の発明の彩度強調装置に適用する
には、図３の彩度画像メモリ１２と彩度最大値抽出手段
２３との間に低域濾過手段３１を置く。For application to the saturation emphasizing device of the sixth invention, the low-pass filtering means 31 is provided between the saturation image memory 12 and the maximum saturation value extracting means 23 of FIG.
【００５１】図２、図３、図４に第８の発明の画像の彩
度強調装置の実施例を示す。前記第５、第６、第７の画
像の彩度強調装置において、強調係数算出手段１５とし
て、次の関数を作用させる手段を実装する。FIGS. 2, 3 and 4 show an embodiment of the image saturation enhancing apparatus of the eighth invention. In the fifth, sixth, and seventh image saturation enhancement devices, as the enhancement coefficient calculation means 15, a means for operating the following function is implemented.
【００５２】 ａ＝１／Ｓm a x （４） 強調係数算出手段１５の例としては数学式をプログラム
したものや、あらかじめデータを記憶しておき、ルック
アップテーブルとして参照する手段がある。A = 1 / S max (4) Examples of the emphasis coefficient calculation means 15 include programmed mathematical expressions and means for pre-storing data and referencing it as a lookup table.
【００５３】これによって、Ｓm a x が大きい時は、入
力画像の彩度が高いということで、強調係数ａは低くな
り、Ｓｍａｘが小さい時は強調係数ａは大きくなる。Ｓ
ｍａｘが０のときは適当な値をａとして決めておく。As a result, when S max is large, the saturation of the input image is high, so that the emphasis coefficient a becomes low, and when S max is small, the emphasis coefficient a becomes large. S
When max is 0, an appropriate value is set as a.
【００５４】[0054]
【発明の効果】ＲＧＢ値のカラー画像を、他の座標系に
変換することなく色相を変化させずに、彩度の強調がで
きる。また、処理時間が短くてすむ。強調係数が１．０
より大きいときは彩度を強調するが、１．０よりも小さ
いと逆に彩度を低下させることもでき、０．０で完全に
無彩色となる。また１．０のときは全く原画像は変化し
ない。よって無彩色から彩やかな色まで広い範囲の彩度
の調整ができる。EFFECTS OF THE INVENTION It is possible to enhance the saturation of a color image of RGB values without converting it to another coordinate system and changing the hue. Moreover, the processing time is short. The emphasis coefficient is 1.0
When it is larger than 1.0, the saturation is emphasized, but when it is smaller than 1.0, the saturation can be decreased, and at 0.0, the color is completely achromatic. When 1.0, the original image does not change at all. Therefore, saturation can be adjusted in a wide range from achromatic colors to vivid colors.
【００５５】また、第５、第６、第７の発明の彩度強調
装置は、画像の彩度を見た目に高画質になるように自動
的に強調できる。Further, the saturation enhancing apparatus of the fifth, sixth and seventh inventions can automatically enhance the saturation of an image so that the image quality is visually high.
【００５６】また、第８の発明の彩度強調装置は、補正
係数を計算する際に、原画像のノイズ成分に左右されず
人間の主観にあった補正が可能。Further, the saturation emphasizing device of the eighth aspect of the present invention is capable of correcting human eyes subjectivity when calculating the correction coefficient without being influenced by the noise component of the original image.
【図１】第３の発明のカラー画像の彩度強調装置の一実
施例を示すブロック図FIG. 1 is a block diagram showing an embodiment of a color image saturation enhancement device of a third invention.
【図２】第４の発明のカラー画像の彩度強調装置の一実
施例を示すブロック図FIG. 2 is a block diagram showing an embodiment of a color image saturation enhancing device of a fourth invention.
【図３】第５の発明のカラー画像の彩度強調装置の一実
施例を示すブロック図FIG. 3 is a block diagram showing an embodiment of a color image saturation enhancement apparatus of a fifth invention.
【図４】第６の発明のカラー画像の彩度強調装置の一実
施例を示すブロック図FIG. 4 is a block diagram showing an embodiment of a color image saturation enhancement device of a sixth invention.
【図５】従来のカラー画像の彩度強調装置の一実施例を
示すブロック図FIG. 5 is a block diagram showing an embodiment of a conventional color image saturation enhancement device.
【図６】図５の彩度変換手段４６で用いられる彩度変換
関数の例6 is an example of a saturation conversion function used in the saturation conversion means 46 of FIG.
【図７】第１の発明の画像の彩度強調方法を説明するた
めの図FIG. 7 is a diagram for explaining an image saturation enhancement method of the first invention.
【図８】強調係数算出用関数の例FIG. 8 is an example of an enhancement coefficient calculation function.
【図９】入力画像の彩度と出力画像の彩度との関係[Fig. 9] Relationship between saturation of input image and saturation of output image
１，４１ 入力画像メモリ ２ 最大値算出装置 ３ ＲＧＢ画素演算手段 ４，４８ 出力画像メモリ ５ 係数入力手段 １１ 彩度算出手段 １２ 彩度画像メモリ １３，２３ 彩度最大値抽出手段 １４，２４ 係数算出手段 １５ 彩度最大値変換手段 ２１ 明度算出手段 ２２ 明度画像メモリ ２３ 強調係数算出手段 ３１ 低域濾過手段 ４２ 色座標変換手段 ４３ Ｌ画像メモリ ４４ Ｃ画像メモリ ４５ Ｈ画像メモリ ４６ 彩度変換手段 ４７ 色座標逆変換手段 ４９，８１ 彩度変換関数 ５１ 最大値Ｉ ５２ 中間値ｍ ５３ 最小値ｉ ５４ 最大値と最小値の差 ５５ 白色成分 ５６ 最大値と中間値の差 ５７ 中間値と最小値の差 ５８ 色成分 ５９ 強調係数 ６１ 変換後の最大値Ｉ ６２ 変換後の中間値ｍ ６３ 変換後の最小値ｉ ６４ 変換後の最大値と最小値の差 ６５ 変換後の白色成分 ６６ 変換後の最大値と中間値の差 ６７ 変換後の中間値と最小値の差 ６８ 変換後の色成分 ７１ 第一の関数 ７２ 第二の関数 1, 41 Input image memory 2 Maximum value calculation device 3 RGB pixel calculation means 4, 48 Output image memory 5 Coefficient input means 11 Saturation calculation means 12 Saturation image memory 13, 23 Maximum saturation value extraction means 14, 24 Coefficient calculation Means 15 Maximum chroma conversion means 21 Brightness calculation means 22 Brightness image memory 23 Enhancement coefficient calculation means 31 Low-pass filtering means 42 Color coordinate conversion means 43 L image memory 44 C image memory 45 H image memory 46 Saturation conversion means 47 colors Coordinate inverse conversion means 49, 81 Saturation conversion function 51 Maximum value I 52 Intermediate value m 53 Minimum value i 54 Difference between maximum value and minimum value 55 White component 56 Difference between maximum value and intermediate value 57 Difference between intermediate value and minimum value 58 color components 59 enhancement coefficient 61 maximum value after conversion I 62 intermediate value after conversion m 63 minimum value after conversion i 64 difference between maximum value and minimum value after conversion 5 white component 66 post-conversion maximum value and intermediate value and the color component 71 first function 72 a second function after a difference 68 converts the minimum value after the difference 67 converts the intermediate value of the converted
Claims (8)
大値をＩとし、Ｉと各Ｒ，Ｇ，Ｂ値との差に強調係数を
乗じ、その結果をＩから減算したものを新しいＲ，Ｇ，
Ｂ値とすることによって、画像の彩度を強調することを
特徴とするカラー画像の彩度強調方法。1. A method in which the maximum value of R, G, B values of each pixel of a color image is I, the difference between I and each R, G, B value is multiplied by an emphasis coefficient, and the result is subtracted from I. The new R, G,
A saturation enhancement method for a color image, wherein the saturation of the image is enhanced by setting the B value.
大値をＩ、最小値をｉとし、Ｉとｉの差をＩで除した値
である彩度を各画素ごとに計算し、画像内での彩度最大
値あるいは画像内の明度の高い領域での彩度最大値を求
め、彩度最大値の関数として前記強調係数を決定するこ
とを特徴とする請求項１記載のカラー画像の彩度強調方
法。2. Saturation is calculated for each pixel, where I is the maximum value of R, G, B values of each pixel of the color image, i is the minimum value, and the difference between I and i is divided by I. Then, the maximum saturation value in the image or the maximum saturation value in a high lightness region in the image is obtained, and the enhancement coefficient is determined as a function of the maximum saturation value. Saturation enhancement method for color images.
大値をＩ、最小値をｉとし、Ｉとｉの差をＩで除した値
である彩度を各画素ごとに計算し、求められた彩度の画
像データに低域濾過作用を施した画像内での彩度最大値
あるいは画像内の明度の高い領域での彩度最大値を求
め、彩度最大値の関数として前記強調係数を決定するこ
とを特徴とする請求項１記載のカラー画像の彩度強調方
法。3. A saturation which is a value obtained by dividing a difference between I and i by I is calculated for each pixel, where I is a maximum value of R, G and B values of each pixel of a color image and i is a minimum value. Then, the saturation maximum value in the image obtained by subjecting the image data of the obtained saturation to the low-pass filtering or the saturation maximum value in the area with high lightness in the image is obtained, and as a function of the maximum saturation value, The color image saturation enhancement method according to claim 1, wherein the enhancement coefficient is determined.
に、Ｒ，Ｇ，Ｂの最大値Ｉを算出する最大値算出手段
と、強調係数ａを入力する係数入力手段と、各画素ごと
にＩと各ＲＧＢ値との差に強調係数ａを乗じ、その結果
をＩから減算したものを新しいＲ，Ｇ，Ｂ値とする演算
を施すＲＧＢ画素演算手段とからなることを特徴とする
カラー画像の彩度強調装置。4. A maximum value calculating means for calculating a maximum value I of R, G, B for each pixel from an input color image memory, a coefficient input means for inputting an emphasis coefficient a, and I for each pixel. And an RGB pixel calculating means for multiplying the difference between each RGB value by an emphasis coefficient a and subtracting the result from I to obtain new R, G, B values. Saturation enhancement device.
ー画像メモリから各画素のＲ，Ｇ，Ｂの最大値Ｉと最小
値ｉを算出し、最大値Ｉと最小値ｉの差を最大値Ｉで除
算する演算を施すことによって彩度を算出する彩度算出
手段と、前記彩度計算手段の出力をストアする彩度画像
メモリと、前記彩度画像メモリ内での最大値として彩度
最大値を抽出する彩度最大値抽出手段と、彩度最大値の
関数として強調係数ａを算出する強調係数算出手段とを
もつことを特徴とする請求項４記載のカラー画像の彩度
強調装置。5. The maximum value I and the minimum value i of R, G, B of each pixel are calculated from the input color image memory instead of the coefficient input means, and the difference between the maximum value I and the minimum value i is calculated as the maximum value. Saturation calculating means for calculating the saturation by performing an operation of dividing by I, a saturation image memory for storing the output of the saturation calculating means, and a maximum saturation as the maximum value in the saturation image memory. 5. The color image saturation enhancement apparatus according to claim 4, further comprising: a maximum saturation value extraction means for extracting a value; and an enhancement coefficient calculation means for calculating an enhancement coefficient a as a function of the maximum saturation value.
ー画像メモリから各画素のＲ，Ｇ，Ｂの最大値Ｉと最小
値ｉを算出し、最大値Ｉと最小値ｉの差を最大値Ｉで除
算する演算を施すことによって彩度を算出する彩度算出
手段と、前記彩度算出手段の出力をストアする彩度画像
メモリと、前記入力カラー画像メモリから各画素の明度
を算出する明度算出手段と、前記明度算出手段の出力を
ストアする明度画像メモリと、前記明度画像メモリと前
記彩度画像メモリの値を参照し、明度が一定範囲にある
画素での彩度の最大値として、彩度最大値を抽出する彩
度最大値抽出手段と、彩度最大値の関数として強調係数
ａを算出する強調係数算出手段とをもつことを特徴とす
る請求項４記載のカラー画像の彩度強調装置。6. The maximum value I and the minimum value i of R, G, B of each pixel are calculated from the input color image memory instead of the coefficient input means, and the difference between the maximum value I and the minimum value i is calculated as the maximum value. Saturation calculating means for calculating saturation by performing an operation of dividing by I, saturation image memory for storing the output of the saturation calculating means, and brightness for calculating the brightness of each pixel from the input color image memory Calculating means, a brightness image memory for storing the output of the brightness calculating means, with reference to the values of the brightness image memory and the saturation image memory, as the maximum value of the saturation in pixels in which the brightness is in a certain range, The saturation of a color image according to claim 4, further comprising: a maximum saturation value extracting means for extracting the maximum saturation value; and an emphasis coefficient calculating means for calculating an emphasis coefficient a as a function of the maximum saturation value. Emphasis device.
ータに低域濾過作用を施す低域濾過作用手段をもつこと
を特徴とする請求項５又は６記載のカラー画像の彩度強
調装置。7. A color image saturation enhancing apparatus according to claim 5, further comprising low-pass filtering means for applying low-pass filtering to the saturation image data, which is provided downstream of said saturation image memory. .
m a x の関数として、ａ＝１／Ｓm a x の演算によって
強調係数ａを算出することを特徴とする請求項５、６又
は７記載のカラー画像の彩度強調装置。8. The saturation coefficient calculation means is configured to set a maximum saturation value S.
8. The color image saturation enhancement device according to claim 5, wherein the enhancement coefficient a is calculated as a function of max by calculating a = 1 / S max .
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| JP5128570A JP2600573B2 (en) | 1993-05-31 | 1993-05-31 | Color image saturation enhancement method and apparatus |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| JP5128570A JP2600573B2 (en) | 1993-05-31 | 1993-05-31 | Color image saturation enhancement method and apparatus |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| JPH06339017A true JPH06339017A (en) | 1994-12-06 |
| JP2600573B2 JP2600573B2 (en) | 1997-04-16 |
Family
ID=14988026
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| JP5128570A Expired - Lifetime JP2600573B2 (en) | 1993-05-31 | 1993-05-31 | Color image saturation enhancement method and apparatus |
Country Status (1)
| Country | Link |
|---|---|
| JP (1) | JP2600573B2 (en) |
Cited By (11)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US7062080B2 (en) | 2001-11-26 | 2006-06-13 | Omron Corporation | Method of inspecting curved surface and device for inspecting printed circuit board |
| US7512266B2 (en) | 2004-09-06 | 2009-03-31 | Mstar Semiconductor, Inc. | Method and device for luminance correction |
| US7512263B2 (en) | 1996-11-13 | 2009-03-31 | Seiko Epson Corporation | Image processing system, image processing method, and medium having an image processing control program recorded thereon |
| US7548357B2 (en) | 2004-01-16 | 2009-06-16 | Seiko Epson Corporation | Image processing device, image display device, image processing method, and image processing program |
| JP2011019175A (en) * | 2009-07-10 | 2011-01-27 | Kawasaki Microelectronics Inc | Saturation adjusting circuit |
| US8072545B2 (en) * | 2006-09-19 | 2011-12-06 | Funai Electric Co., Ltd. | Television and image display device in which color saturation can be adjusted |
| CN104835438A (en) * | 2014-02-10 | 2015-08-12 | 辛纳普蒂克斯显像装置合同会社 | Display device, display panel driver, image processing apparatus and image processing method |
| JP2016163052A (en) * | 2015-02-26 | 2016-09-05 | オリンパス株式会社 | Image processing apparatus, imaging device, image processing method, and image processing program |
| WO2016185958A1 (en) * | 2015-05-18 | 2016-11-24 | シャープ株式会社 | Display device and method for expanding color space |
| US9691347B2 (en) | 2014-02-10 | 2017-06-27 | Synaptics Japan Gk | Image processing apparatus, image processing method, display panel driver and display apparatus |
| KR102347718B1 (en) * | 2020-11-24 | 2022-01-06 | 주식회사 아이닉스 | Image processing system by applying color filtering and processing method therefor |
Citations (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JPS61145992A (en) * | 1984-12-19 | 1986-07-03 | Fuji Photo Film Co Ltd | Picture output method |
-
1993
- 1993-05-31 JP JP5128570A patent/JP2600573B2/en not_active Expired - Lifetime
Patent Citations (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JPS61145992A (en) * | 1984-12-19 | 1986-07-03 | Fuji Photo Film Co Ltd | Picture output method |
Cited By (14)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US7512263B2 (en) | 1996-11-13 | 2009-03-31 | Seiko Epson Corporation | Image processing system, image processing method, and medium having an image processing control program recorded thereon |
| US7062080B2 (en) | 2001-11-26 | 2006-06-13 | Omron Corporation | Method of inspecting curved surface and device for inspecting printed circuit board |
| US7548357B2 (en) | 2004-01-16 | 2009-06-16 | Seiko Epson Corporation | Image processing device, image display device, image processing method, and image processing program |
| US7512266B2 (en) | 2004-09-06 | 2009-03-31 | Mstar Semiconductor, Inc. | Method and device for luminance correction |
| US8072545B2 (en) * | 2006-09-19 | 2011-12-06 | Funai Electric Co., Ltd. | Television and image display device in which color saturation can be adjusted |
| JP2011019175A (en) * | 2009-07-10 | 2011-01-27 | Kawasaki Microelectronics Inc | Saturation adjusting circuit |
| CN104835438A (en) * | 2014-02-10 | 2015-08-12 | 辛纳普蒂克斯显像装置合同会社 | Display device, display panel driver, image processing apparatus and image processing method |
| US9691347B2 (en) | 2014-02-10 | 2017-06-27 | Synaptics Japan Gk | Image processing apparatus, image processing method, display panel driver and display apparatus |
| US9886779B2 (en) | 2014-02-10 | 2018-02-06 | Synaptics Japan Gk | Display device, display panel driver, image processing apparatus and image processing method |
| CN104835438B (en) * | 2014-02-10 | 2019-07-23 | 辛纳普蒂克斯日本合同会社 | Show equipment, display panel drive, image processing apparatus and image processing method |
| US10380936B2 (en) | 2014-02-10 | 2019-08-13 | Synaptics Japan Gk | Display device, display panel driver, image processing apparatus and image processing method |
| JP2016163052A (en) * | 2015-02-26 | 2016-09-05 | オリンパス株式会社 | Image processing apparatus, imaging device, image processing method, and image processing program |
| WO2016185958A1 (en) * | 2015-05-18 | 2016-11-24 | シャープ株式会社 | Display device and method for expanding color space |
| KR102347718B1 (en) * | 2020-11-24 | 2022-01-06 | 주식회사 아이닉스 | Image processing system by applying color filtering and processing method therefor |
Also Published As
| Publication number | Publication date |
|---|---|
| JP2600573B2 (en) | 1997-04-16 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| JP3759761B2 (en) | Method and apparatus for changing sharpness | |
| JP4666274B2 (en) | Color image processing apparatus and method | |
| EP0971314B1 (en) | A method for preserving image detail when adjusting the contrast of a digital image | |
| US7420623B2 (en) | Image-signal processing apparatus for enhancing specific frequency component of image signal and correcting the edge of reproduced image | |
| KR100453038B1 (en) | An apparatus and method for saturation correction in color image | |
| JP3828251B2 (en) | Video dynamic range expansion device | |
| JPH056390B2 (en) | ||
| US7755670B2 (en) | Tone-conversion device for image, program, electronic camera, and tone-conversion method | |
| KR20080056265A (en) | Image detail enhancement | |
| EP1237360B1 (en) | Contour correcting device | |
| JP2006229925A (en) | Dynamic image saturation enhancement apparatus | |
| US8064693B2 (en) | Methods of and apparatus for adjusting colour saturation in an input image | |
| US8427560B2 (en) | Image processing device | |
| JPH0564229A (en) | Picture processor and method | |
| EP1017229B1 (en) | A method for preserving spatial detail and color content when adjusting the tone scale of a digital color image | |
| KR20010075557A (en) | Video signal enhancement | |
| JP2600573B2 (en) | Color image saturation enhancement method and apparatus | |
| JPH0630330A (en) | Gradation correction circuit and image pickup device | |
| JP2002536920A (en) | Histogram equalization method | |
| JP2876934B2 (en) | Image contrast enhancement method and apparatus | |
| EP1895781B1 (en) | Method of and apparatus for adjusting colour saturation | |
| US7012719B1 (en) | Sign sensitive aperture correction system and method | |
| JP4120928B2 (en) | Image processing apparatus, image processing method, and program thereof | |
| JP2005529558A (en) | Image processing | |
| JP2986625B2 (en) | Skin color detection circuit and imaging device |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| A01 | Written decision to grant a patent or to grant a registration (utility model) |
Free format text: JAPANESE INTERMEDIATE CODE: A01 Effective date: 19961119 |
|
| FPAY | Renewal fee payment (event date is renewal date of database) |
Free format text: PAYMENT UNTIL: 20080129 Year of fee payment: 11 |
|
| FPAY | Renewal fee payment (event date is renewal date of database) |
Free format text: PAYMENT UNTIL: 20090129 Year of fee payment: 12 |
|
| FPAY | Renewal fee payment (event date is renewal date of database) |
Free format text: PAYMENT UNTIL: 20100129 Year of fee payment: 13 |
|
| FPAY | Renewal fee payment (event date is renewal date of database) |
Free format text: PAYMENT UNTIL: 20110129 Year of fee payment: 14 |
|
| FPAY | Renewal fee payment (event date is renewal date of database) |
Free format text: PAYMENT UNTIL: 20110129 Year of fee payment: 14 |
|
| FPAY | Renewal fee payment (event date is renewal date of database) |
Free format text: PAYMENT UNTIL: 20120129 Year of fee payment: 15 |
|
| FPAY | Renewal fee payment (event date is renewal date of database) |
Free format text: PAYMENT UNTIL: 20130129 Year of fee payment: 16 |
|
| FPAY | Renewal fee payment (event date is renewal date of database) |
Free format text: PAYMENT UNTIL: 20130129 Year of fee payment: 16 |
|
| EXPY | Cancellation because of completion of term |