CN101621620B - Image reduction method for electronic device and relevant device thereof - Google Patents
Image reduction method for electronic device and relevant device thereof Download PDFInfo
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- CN101621620B CN101621620B CN2008101284698A CN200810128469A CN101621620B CN 101621620 B CN101621620 B CN 101621620B CN 2008101284698 A CN2008101284698 A CN 2008101284698A CN 200810128469 A CN200810128469 A CN 200810128469A CN 101621620 B CN101621620 B CN 101621620B
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Abstract
The invention relates to an image reduction method for an electronic device and a relevant device thereof. In order to effectively reduce fuzzy images, the invention provides an image reduction method for an electronic device, comprising: generating a acceleration signal when a shot object is received; measuring distance between the electronic device and the shot object so as to generate object distance; reducing the image according to the acceleration signal and the object distance.
Description
Technical field
The present invention relates to a kind of image reduction method and relevant apparatus thereof that is used for an electronic installation, especially relate to an a kind of acceleration signal that is produced when moving and the distance between this electronic installation and the object, reduce the method and the relevant apparatus thereof of an image of this object according to this electronic installation.
Background technology
Along with digital camera popularizing in the modern life, popular also more and more higher for the requirement of filmed image quality.For instance, specifications such as the resolution of image or color saturation have become one of consumer's necessity consideration when choosing a digital camera product.The more important thing is, when taking pictures, because the hand shake causes filmed image fuzzy, reduced the definition of image easily owing to consumer's hand-held digital camera.Therefore, the function of anti-hand shake is indispensable in digital camera.
The technology of the anti-hand shake of tradition can be divided into anti-hand shake technology of optical profile type and the anti-hand shake technology of electronic type.The anti-hand shake technology of optical profile type is to realize the function of anti-hand shake with hardware, the common practice is that degree of will speed up sensor (Accelerator) or gyroscope sensing apparatus such as (Gyroscope) are arranged in the camera lens, or combine with CCD sensor in the camera body, use the shaking degree of camera lens when detecting the hand shake or fuselage, and will detect data and be back to computer in the fuselage.Computer is through after calculating, and eyeglass in the controls lens or CCD sensor compensate mobile, to obtain stable image.Though the anti-hand shake of optical profile type technology is deblurring accurately, shortcoming takies larger volume for costing an arm and a leg, and damages hardware because of dropping easily.Therefore, the anti-hand shake of optical profile type technology can't be implemented in small-sized electronic product, in the digital camera as camera cell phone or lightweight.
On the other hand, the anti-hand shake technology of electronic type is with the software computing fuzzy image to be carried out image processing, with the reduction image.The anti-hand shake of electronic type technology does not need extra hardware detection device, therefore often is applied in the small-sized electronic product.Common way such as high ISO, its control shutter was finished the action of taking pictures before experiencing mobile camera moving.Because high ISO receives the light deficiency, must strengthen signal strength signal intensity, can bring higher noise simultaneously.Another common practice is with special algorithm, as LR (Lucy-Richardson) algorithm, the mobile route of estimation fuzzy image, i.e. point spread function (Point Spread Function), and according to point spread function reduction image (Image Restoration).Yet, with the point spread function of algorithm estimation high resolution image, need to spend a large amount of operation time, neither the practical practice.
Summary of the invention
Therefore, the present invention mainly provides a kind of image reduction method and relevant apparatus thereof that is used for an electronic installation.
The present invention discloses a kind of image reduction method that is used for an electronic installation, includes when receiving an image of an object, produces an acceleration signal; Measure the distance between this electronic installation and this object, to produce an object distance; And, reduce this image according to this acceleration signal and this object distance.
The present invention also discloses a kind of image reduction device that is used for an electronic installation, includes an acceleration sensor, is coupled to a camera model of this electronic installation, is used for producing an acceleration signal when this camera model receives an image of an object; One measuring unit is coupled to this camera model, is used for measuring the distance between this camera model and this object, to produce an object distance; And an image process unit, be coupled to this camera model, this acceleration sensor and this measuring unit, be used for this image being carried out image processing, to reduce this image according to this acceleration signal and this object distance.
When the present invention took pictures in electronic installation, acceleration signal and the camera model of electronic installation and the distance between the object according to acceleration sensor produces produced point spread function, and then the reduction image.Thus, the embodiment of the invention is applicable to compact electronic device, reduces simultaneously image more efficiently, has significantly promoted the identification and the image processing efficiency of image.
Description of drawings
Fig. 1 is the schematic diagram of the embodiment of the invention one flow process.
Fig. 2 is the embodiment of the invention one an image reduction schematic representation of apparatus.
Embodiment
Please refer to Fig. 1, Fig. 1 is the schematic diagram of the embodiment of the invention one flow process 10.Flow process 10 is used for an electronic installation with camera function, is used for reducing the captured fuzzy image of electronic installation.Flow process 10 comprises following steps:
Step 100: beginning.
Step 102: when receiving an image of an object, produce an acceleration signal.
Step 104: measure the distance between this electronic installation and this object, to produce an object distance.
Step 106: according to this acceleration signal, produce a displacement data, this displacement data is used for representing the relative movement distance of this object with respect to this electronic installation.
Step 108: according to this object distance, changing this displacement data becomes pixel displacement data, and these pixel displacement data are used for representing the quantity of the relatively move pixel of this object in this image.
Step 110:, produce a point spread function (Point SpreadFunction) according to these pixel displacement data.
Step 112:, reduce this image according to this point spread function.
Step 114: finish.
Below describe flow process 10 in detail.Electronic installation that it should be noted that flow process 10 is one to comprise the electronic installation of a camera model and an acceleration sensor, as mobile phone or digital camera etc.At first, electronic installation receives the image of object, and when receiving image, produces acceleration signal simultaneously.Acceleration signal is to produce when electronic installation rocks, as is known hand shake phenomenon.On the other hand, the distance between electronic installation measurement self (being inner camera model in fact) and the object is to produce object distance.Next, electronic installation produces displacement data according to acceleration signal, and its expression object is with respect to the relative movement distance of electronic installation.In addition, displacement data is converted into the pixel displacement data according to object distance.Note that at this displacement data is used for representing that electronic installation takes pictures when rocking, object is with respect to the relative movement distance of electronic installation, and the pixel displacement data are used for expression to image, the quantity of the relatively move pixel of object in image.For instance, if object distance is long, it is less that object seems in image, and the quantity of its pixel that relatively moves is less relatively; If object distance is short, it is bigger that object seems in image, and the quantity of its pixel that relatively moves is more relatively.Further, electronic installation produces a point spread function according to the pixel displacement data, is used for representing the mobile route of object in fuzzy image.At last, electronic installation is according to point spread function, the reduction image.By flow process 10, fuzzy image is reduced to best identification state, and thus, the onlooker can recognize object clearly from the image of reduction.
By as can be known preceding, prevent hand shake technology if will realize the known optical formula, must take bigger hardware volume, and damage hardware because of electronic device falling easily; Anti-hand shake technology of known electric minor such as high ISO can bring higher noise, and for example produce point spread function with special algorithm, need to spend a large amount of operation time.In comparison, the embodiment of the invention is carried out computing to acceleration signal and object distance, produces point spread function, and according to point spread function reduction fuzzy image.Therefore, the electronic installation of using the embodiment of the invention must not be equipped with corrects the eyeglass that rocks, and also must not produce point spread function with algorithm, quite is suitable for compact electronic device, to reduce image apace.
Main spirit that it should be noted that the embodiment of the invention is acceleration signal and object distance are carried out computing, with the generation point spread function, and according to point spread function reduction fuzzy image.Flow process 10 is one embodiment of the invention, and those skilled in the art are when doing suitable variation and modification according to this.For instance, the step 108 of flow process 10 to step 114 can be reduced to a step: according to this acceleration signal and this object distance, reduce this image.All various practices according to acceleration signal and object distance generation point spread function all should be encompassed in the category of the present invention.
Hardware about flow process 10 is realized, please refer to Fig. 2.Fig. 2 is the schematic diagram of the embodiment of the invention one image reduction device 20.Image reduction device 20 is used for an electronic installation, in mobile phone or digital camera, is used for reducing fuzzy image, and it includes an acceleration sensor 200, a measuring unit 202 and an image process unit 204.Acceleration sensor 200 is coupled to a camera model 22 of electronic installation, is used for producing an acceleration signal when camera model 22 receives an image of an object.For instance, acceleration sensor 200 is one micro electronmechanical (MEMS) 3-axis acceleration sensor.Measuring unit 202 is coupled to camera model 22, is used for measuring the distance between camera model 22 and the object, to produce an object distance.Image process unit 204 is coupled to camera model 22, acceleration sensor 200 and measuring unit 202, is used for according to acceleration signal and object distance image being carried out image processing, with the reduction image.
Further, image process unit 204 includes a computing unit 210, a converting unit 212, a function generation unit 214 and an image reduction unit 216.Computing unit 210 is coupled to acceleration sensor 200, is used for producing a displacement data according to acceleration signal.Displacement data is used for representing the relative movement distance of object with respect to camera model 22.Converting unit 212 is coupled to measuring unit 202 and computing unit 210, is used for according to object distance, and the transition shift data become pixel displacement data.The pixel displacement data are used for representing the quantity of the relatively move pixel of object in image.Function generation unit 214 is coupled to converting unit 212, is used for producing a point spread function according to the pixel displacement data.Image reduction unit 216 is coupled to function generation unit 214 and camera model 22, is used for according to point spread function the image that reduction is fuzzy.For instance, image reduction unit 216 is images filter devices, as Weiner filter (Wiener Filter).
About the detailed operation mode of image reduction device 20, please refer to the flow process 10 of Fig. 1, do not give unnecessary details at this.Image process unit 204 that it should be noted that image reduction device 20 is to be used for according to acceleration signal and object distance fuzzy image being carried out image processing, to reduce fuzzy image.Image process unit 204 is one embodiment of the invention, and those skilled in the art are when doing suitable variation and modification according to this.Image process unit 204 is not limited to and comprises computing unit 210, converting unit 212, function generation unit 214 and image reduction unit 216.Allly produce the image process unit 204 of point spread function, all should be encompassed in the category of the present invention with the reduction image according to acceleration signal and object distance.
In sum, when the embodiment of the invention was taken pictures in electronic installation, acceleration signal and the camera model of electronic installation and the distance between the object according to acceleration sensor produces produced point spread function, and then the reduction image.Thus, the embodiment of the invention is applicable to compact electronic device, reduces simultaneously image more efficiently, has significantly promoted the identification and the image processing efficiency of image.
The above only is preferred embodiment of the present invention, and all equalizations of doing according to claims of the present invention change and modify, and all should belong to covering scope of the present invention.
Claims (7)
1. an image reduction method that is used for electronic installation is characterized in that, above-mentioned image reduction method comprises following steps:
When receiving the image of object, produce acceleration signal;
Measure the distance between above-mentioned electronic installation and the above-mentioned object, to produce object distance;
According to above-mentioned acceleration signal and above-mentioned object distance, produce point spread function; And
According to above-mentioned point spread function, reduce above-mentioned image.
2. image reduction method according to claim 1 is characterized in that, wherein the step according to above-mentioned acceleration signal and above-mentioned object distance generation point spread function includes:
According to above-mentioned acceleration signal, produce displacement data, above-mentioned displacement data is used for representing the relative movement distance of above-mentioned object with respect to above-mentioned electronic installation;
According to above-mentioned object distance, changing above-mentioned displacement data becomes the pixel displacement data, and above-mentioned pixel displacement data are used for representing the quantity of the relatively move pixel of above-mentioned object in above-mentioned image; And
According to above-mentioned pixel displacement data, produce above-mentioned point spread function.
3. an image reduction device that is used for electronic installation is characterized in that, above-mentioned image reduction device includes:
Acceleration sensor is coupled to the camera model of above-mentioned electronic installation, is used for producing acceleration signal when above-mentioned camera model receives the image of object;
Measuring unit is coupled to above-mentioned camera model, is used for measuring the distance between above-mentioned camera model and the above-mentioned object, to produce object distance; And
Image process unit is coupled to above-mentioned camera model, above-mentioned acceleration sensor and above-mentioned measuring unit, is used for according to above-mentioned acceleration signal and above-mentioned object distance, produces point spread function, above-mentioned image is carried out image processing, to reduce above-mentioned image.
4. image reduction device according to claim 3 is characterized in that, wherein above-mentioned image process unit includes:
Computing unit is coupled to above-mentioned acceleration sensor, is used for according to above-mentioned acceleration signal, produces displacement data, and above-mentioned displacement data is used for representing the relative movement distance of above-mentioned object with respect to above-mentioned camera model;
Converting unit, be coupled to above-mentioned measuring unit and aforementioned calculation unit, be used for according to above-mentioned object distance, changing above-mentioned displacement data becomes the pixel displacement data, and above-mentioned pixel displacement data are used for representing the quantity of the relatively move pixel of above-mentioned object in above-mentioned image;
The function generation unit is coupled to above-mentioned converting unit, is used for producing above-mentioned point spread function according to above-mentioned pixel displacement data; And
The image reduction unit is coupled to above-mentioned function generation unit and above-mentioned camera model, is used for according to above-mentioned point spread function, reduces above-mentioned image.
5. image reduction device according to claim 3 is characterized in that, wherein above-mentioned image reduction unit is the images filter device.
6. image reduction device according to claim 5 is characterized in that, wherein above-mentioned images filter device is a Weiner filter.
7. image reduction device according to claim 3 is characterized in that, wherein above-mentioned electronic installation is mobile phone or digital camera.
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| CN2008101284698A CN101621620B (en) | 2008-07-01 | 2008-07-01 | Image reduction method for electronic device and relevant device thereof |
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Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US5365303A (en) * | 1992-05-21 | 1994-11-15 | Olympus Optical Co., Ltd. | Shake-free image restoration system |
| CN1337654A (en) * | 2001-09-21 | 2002-02-27 | 清华大学 | Restore method of blurred text and image in video tape |
| CN1904941A (en) * | 2005-07-29 | 2007-01-31 | 清华大学 | Defuzzy method for image processing |
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Patent Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US5365303A (en) * | 1992-05-21 | 1994-11-15 | Olympus Optical Co., Ltd. | Shake-free image restoration system |
| CN1337654A (en) * | 2001-09-21 | 2002-02-27 | 清华大学 | Restore method of blurred text and image in video tape |
| CN1904941A (en) * | 2005-07-29 | 2007-01-31 | 清华大学 | Defuzzy method for image processing |
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