CN101119502B - Image processing device and image processing method - Google Patents
Image processing device and image processing method Download PDFInfo
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- CN101119502B CN101119502B CN2007101205988A CN200710120598A CN101119502B CN 101119502 B CN101119502 B CN 101119502B CN 2007101205988 A CN2007101205988 A CN 2007101205988A CN 200710120598 A CN200710120598 A CN 200710120598A CN 101119502 B CN101119502 B CN 101119502B
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Abstract
The present invention discloses an image processing device which comprises a dead detecting module, a dead compensating module, a digital gain adjusting module and a digital gain module. The digital gain adjusting module is used for determining the digital gain value and sending the value to the digital gain module and dead detecting module. The dead detecting module is used for using the ratio ofthe threshold constant and the digital gain value as a dead detecting threshold and detects the dead on each pixel that is defined as a dead according to the surrounding pixel. The dead compensatingmodule is used for compensating the dead on each pixel that is thought as dead according to the surrounding pixel. The digital gain module enlarges each pixel according to the digital gain value afterdetecting the dead.
Description
Technical field
The present invention relates to image processing field, relate in particular to image processing apparatus and method that bad point detects.
Technical background
In image processing process, run into the problem that bad point detects through regular meeting.In general, the generation of bad point all is that the corresponding photosensitive pixel in the imageing sensor is out of joint, such as when an imageing sensor generates image, no matter the external environment condition value that how to change some pixel in the image of generation always remains unchanged, this just shows that the corresponding photosensitive pixel of described imageing sensor is bad point (dead pixel), and pixel corresponding in the image is also referred to as bad point.Also have some bad points more hidden in addition, though that be exactly its pixel value along with the variation of environment its size of conversion because the problem of the photosensitive pixel of its imageing sensor itself makes its pixel value may be bigger or slightly little slightly than standard value.These bad points are detected as bad point owing to its influence than conference under situation about having, and not quite and not can be detected as bad point owing to its influence in some cases.
Dead pixel detection method generally is that each pixel is compared with pixel on every side, and the difference of its value is then thought this bad point of pixel greater than a bad some threshold value (dpd_threshold).After bad point detects, follow-uply also need to carry out other processing, wherein just comprise the processing that image is gained and amplifies, the gain amplification here is a step in the automatic exposure process, after finishing, each automatic exposure all needs to generate a time for exposure parameter and digital gain parameter, wherein imageing sensor is exposed, with the digital gain parameter whole the image that generates carried out digital gain and amplify with the automatic exposure parameter value.Carrying out after the gain process, originally is not the pixel of bad point in the image, may just become the bad point that influences picture quality.
And in the image processing flow process, bad point detects preceding, multiply by digital gain after, and the value of bad some threshold value (dpd_threshold) is constant forever.Like this when detecting bad point, the bad point that those are slight, owing to be not more than with the difference of surrounding pixel point and badly put threshold value and do not detect, if this moment, the brightness of image did not need multiply by digital gain (digital gain) when being digital gain=1, these slight bad points are difficult for being discovered.But if be in a darker environment this moment, image will multiply by digital gain and improve brightness, and this moment, these slight bad points and the difference between the surrounding pixel point will be strengthened, and will see that tangible bad point is arranged on the screen.
Summary of the invention
In view of this, one object of the present invention is to provide a kind of image processing apparatus, and they can adaptive all bad points that detect.
Another object of the present invention is to provide a kind of image processing method, and they can adaptive all bad points that detect.
In order to achieve the above object, the image processing apparatus that provides according to an aspect of the present invention, it comprises that bad point detects module, compensating bad point module, digital gain adjusting module and digital gain module.Described digital gain adjusting module is used for determining the value of digital gain and sends it to digital gain module and bad some detection module.Described bad point detects module, is used for the ratio of threshold constant and described digital gain value is detected threshold value as bad point, and according to the pixel value and the bad some detection threshold value of surrounding pixel point each pixel is gone bad some detection.Described compensating bad point module is used for according to the pixel value of surrounding pixel point the pixel that is identified as bad point being carried out compensating bad point.Described digital gain module, go bad a little detect the back according to described digital gain value to the amplification that gains of each pixel.
Further, when coming the remarked pixel value with 0～255 number range, the span of threshold constant is [28,35].
Further, described threshold constant is 32.
Further, after each automatic exposure program locking, digital gain adjusting module all can redefine a digital gain value.
Further, the span of described digital gain is [1,3].
Further, the absolute value of pixel value that detects threshold value and current pixel point and vertical lower pixel greater than bad point at the absolute value of the pixel value of current pixel point and vertical direction pixel is during greater than bad some detection threshold value, or the absolute value of pixel value that detects threshold value and current pixel point and the right-hand pixel of level greater than bad point at the absolute value of the pixel value of current pixel point and horizontal left pixel is during greater than bad some detection threshold value, and the identification current pixel point is a bad point.
Further, concrete dead pixel compensation method is: the pixel value summation back of the pixel of the upper and lower, left and right that will badly put is average, gives described bad point with the mean value assignment.
A kind of image processing method that provides according to an aspect of the present invention, it comprises: step 100, determine digital gain value; Step 200 detects threshold value with the ratio of threshold constant and described digital gain value as bad point, detects a threshold value according to the pixel value of surrounding pixel point and bad point each pixel is gone bad some detection; Step 300 is carried out compensating bad point according to the pixel value of surrounding pixel point to the pixel that is identified as bad point; Step 400, bad point detect the back according to described digital gain value to the amplification that gains of each pixel.
Further, after each automatic exposure program locking, in step 100, all to redefine a digital gain value.
Further, when coming the remarked pixel value with 0～255 number range, threshold constant is 32.
Like this, in the technical scheme that the present invention proposes, the bad some threshold value (dpd_threshold) that bad point is detected associates with digital gain (digital gain), and the value of digital gain is big more, the value of bad some threshold value is more little, so just can adaptively detect all bad points.
Description of drawings
Fig. 1 is the structured flowchart of an embodiment of image processing apparatus of the present invention;
Fig. 2 is the flow chart of an embodiment of image processing method of the present invention.
Embodiment
Below in conjunction with Figure of description the specific embodiment of the present invention is described.
In the technical scheme that the present invention proposes, the bad some threshold value (dpd_threshold) that bad point is detected associates with digital gain (digital gain), the value of digital gain is big more, and the value of bad some threshold value is more little, so just can adaptively detect all bad points.
Please refer to shown in Figure 1ly, it shows the block diagram of an embodiment of image processing apparatus of the present invention, and described image processing apparatus comprises that bad point detects a module 10, compensating bad point module 20, digital gain adjusting module 30 and digital gain module 40.
A described badly detection module 10 is used for according to the pixel value and the bad some detection threshold value (dpd_threshold) of surrounding pixel point each pixel being gone bad some detection, concrete bad some detection mode can be: the absolute value of pixel value that detects threshold value and current pixel point and vertical lower pixel greater than bad point at the absolute value of the pixel value of current pixel point and vertical direction pixel is during greater than bad some detection threshold value, or the absolute value of pixel value that detects threshold value and current pixel point and the right-hand pixel of level greater than bad point at the absolute value of the pixel value of current pixel point and horizontal left pixel is during greater than bad some detection threshold value, and the identification current pixel point is a bad point.Certainly, the mode that detects of bad point can also adopt other any ways known to the those of ordinary skill.Described bad point detects threshold value and can obtain according to a threshold constant, and this threshold constant can obtain through testing repeatedly, and when the pixel value of representing with 0～255 number range, the span of threshold constant can be [28,35], and its best value is 32.
Described compensating bad point module 20 is used for according to the surrounding pixel point pixel that is identified as bad point being carried out compensating bad point, concrete dead pixel compensation method can be: the pixel value summation back of the pixel of the upper and lower, left and right that will badly put is average, gives described bad point with the mean value assignment.Certainly, dead pixel compensation method can also adopt other any ways known to the those of ordinary skill.In addition, not being identified as badly, the pixel of point just directly passes through the described digital gain module 40 of compensating bad point module 20 arrival.
Described digital gain adjusting module 30 is used for determining the value of digital gain (digital gain) and sends it to digital gain module 40 and bad some detection module 20, the span of described digital gain can be [1,3], described bad point detects module 20 ratio of threshold constant and described digital gain value is detected threshold value as bad point, described digital gain module 40 after go bad a little detection according to described digital gain value to the amplification that gains of each pixel.Wherein, after each automatic exposure program locking, digital gain adjusting module 30 all will redefine a digital gain value and send to digital gain module 40 and bad some detection module 20, has so just guaranteed that described bad point detects the variation that threshold value is followed digital gain value.
Like this, bad some threshold value dpd_threshold and digital gain (digital gain) that bad point is detected associate, and the value of digital gain is big more, and the value of bad some threshold value dpd_threshold should be more little, so just can adaptively detect all bad points.
It should be noted that, also may have additional other image processing modules at bad between detection module, compensating bad point module and digital gain module, bad some detection module, compensating bad point module and the digital gain module that therefore can not limit among the present invention must be linked in sequence successively.
Please refer to shown in Figure 2ly, it shows the schematic flow sheet of an embodiment of image processing method of the present invention, and this method comprises the steps.
After each automatic exposure program locking, in step 100, all to redefine a digital gain value, so just guaranteed that described bad point detects the real-time change that threshold value is followed digital gain value.
The above only is preferred embodiment of the present invention, and is in order to restriction the present invention, within the spirit and principles in the present invention not all, any modification of being done, is equal to replacement etc., all should be included within protection scope of the present invention.
Claims (10)
1. image processing apparatus, it comprises that bad point detects a module, compensating bad point module, digital gain adjusting module and digital gain module,
Described digital gain adjusting module is used for determining the value of digital gain and sends it to digital gain module and bad some detection module;
Described bad point detects module, is used for the ratio of threshold constant and described digital gain value is detected threshold value as bad point, and according to the pixel value and the bad some detection threshold value of surrounding pixel point each pixel is gone bad some detection;
Described compensating bad point module is used for according to the pixel value of surrounding pixel point the pixel that is identified as bad point being carried out compensating bad point;
Described digital gain module, go bad a little detect the back according to described digital gain value to the amplification that gains of each pixel.
2. image processing apparatus as claimed in claim 1 is characterized in that, when coming the remarked pixel value with 0～255 number range, the span of threshold constant is [28,35].
3. image processing apparatus as claimed in claim 1 is characterized in that, described threshold constant is 32.
4. image processing apparatus as claimed in claim 1 is characterized in that, after each automatic exposure program locking, digital gain adjusting module all can redefine a digital gain value.
5. image processing apparatus as claimed in claim 1 is characterized in that, the span of described digital gain is [1,3].
6. image processing apparatus as claimed in claim 1, it is characterized in that, the absolute value of pixel value that detects threshold value and current pixel point and vertical lower pixel greater than bad point at the absolute value of the pixel value of current pixel point and vertical direction pixel is during greater than bad some detection threshold value, or the absolute value of pixel value that detects threshold value and current pixel point and the right-hand pixel of level greater than bad point at the absolute value of the pixel value of current pixel point and horizontal left pixel is during greater than bad some detection threshold value, and the identification current pixel point is a bad point.
7. image processing apparatus as claimed in claim 1 is characterized in that, concrete dead pixel compensation method is: the pixel value summation back of the pixel of the upper and lower, left and right that will badly put is average, gives described bad point with the mean value assignment.
8. image processing method is characterized in that it comprises:
Step 100 is determined digital gain value;
Step 200 detects threshold value with the ratio of threshold constant and described digital gain value as bad point, detects a threshold value according to the pixel value of surrounding pixel point and bad point each pixel is gone bad some detection;
Step 300 is carried out compensating bad point according to the pixel value of surrounding pixel point to the pixel that is identified as bad point;
Step 400, bad point detect the back according to described digital gain value to the amplification that gains of each pixel.
9. image processing method as claimed in claim 8 is characterized in that, after each automatic exposure program locking, all will redefine a digital gain value in step 100.
10. image processing method as claimed in claim 8 is characterized in that, when coming the remarked pixel value with 0～255 number range, threshold constant is 32.
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| Publication number | Priority date | Publication date | Assignee | Title |
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| CN107087153A (en) * | 2017-04-05 | 2017-08-22 | 深圳市冠旭电子股份有限公司 | 3D rendering generation method, device and VR equipment |
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| CN101242542B (en) * | 2008-02-26 | 2010-04-21 | 北京中星微电子有限公司 | An image detection method and device |
| CN101729764B (en) * | 2008-10-13 | 2012-05-23 | 慧国(上海)软件科技有限公司 | Shooting device and dead pixel compensation method for image sensor |
| CN101715050B (en) * | 2009-11-20 | 2014-07-09 | 北京中星微电子有限公司 | Method and system for detecting dead pixels of image sensor |
| CN104935838B (en) * | 2015-06-04 | 2018-04-06 | 上海集成电路研发中心有限公司 | A kind of method of image restoring |
| CN105163114A (en) * | 2015-08-21 | 2015-12-16 | 深圳创维－Rgb电子有限公司 | Method and system for detecting screen dead pixel based on camera |
| CN106412542A (en) * | 2016-02-03 | 2017-02-15 | 周彩章 | Image processing method and system |
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| CN107016669B (en) * | 2017-03-27 | 2019-08-23 | 福州瑞芯微电子股份有限公司 | A kind of dead pixel points of images detection method and device |
| CN108965749B (en) * | 2018-08-16 | 2021-02-26 | 思特威(上海)电子科技有限公司 | Defect pixel detection and correction device and method based on texture recognition |
| CN109887461B (en) * | 2019-03-29 | 2020-12-25 | 京东方科技集团股份有限公司 | Display device and display method |
| CN110288599B (en) * | 2019-07-10 | 2021-06-15 | 浙江大华技术股份有限公司 | Dead pixel detection method and device, electronic equipment and storage medium |
| CN110891172B (en) * | 2019-12-31 | 2021-07-16 | 上海富瀚微电子股份有限公司 | Dead pixel detection and correction device |
| CN112656435A (en) * | 2020-12-21 | 2021-04-16 | 明峰医疗系统股份有限公司 | Method for automatically detecting detector dead pixel |
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Address after: 519031 -23898, 105 room 6, Baohua Road, Hengqin New District, Zhuhai, Guangdong (centralized office area) Patentee after: Mid Star Technology Limited by Share Ltd Address before: 519031 -23898, 105 room 6, Baohua Road, Hengqin New District, Zhuhai, Guangdong (centralized office area) Patentee before: Zhongxing Technology Co., Ltd. |
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