Method and device for eliminating image noise

An image noise and image technology, applied in the field of image noise elimination, can solve the problem of reducing the amount of noise processing calculations, etc.

Active Publication Date: 2017-07-04
SPREADTRUM COMM (SHANGHAI) CO LTD
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  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

[0006] The problem solved by the present invention is how to reduce the c

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  • Method and device for eliminating image noise
  • Method and device for eliminating image noise

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Embodiment Construction

[0099] The image processing process generally includes: acquiring an image on the Bayer (Bayer) domain, performing color interpolation processing on the image, then converting the image after the color interpolation processing into an image on the RGB domain, and then converting the RGB The image on the domain is converted to an image on the YUV domain.

[0100] At present, after the image in the YUV domain is obtained, in order to remove the color noise on the image, the image in the YUV domain is subjected to denoising processing.

[0101] However, using the above method for noise processing requires a large amount of calculation for noise processing.

[0102] In order to solve the above-mentioned problems, the embodiment of the present invention receives the image block on the Bayer domain, and then calculates the pixel value of the center pixel of the image block after the noise is removed, that is, eliminates the image block on the Bayer domain. Noise processing, and the...

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Abstract

The invention relates to a method and a device for eliminating image noises. An image includes p image blocks, the size of each image block is M*N, and M and N are odd numbers. The method comprises the steps of receiving the image blocks on a Bayer domain; adopting sub-image blocks in the size of Sm*Sn with a pixel having the same channel with a central pixel as a center, wherein the central pixel is the central pixel of the received image block, and Sm and Sn are odd numbers; acquiring a filtering weight coefficient of each sub-image block, filtering the image blocks according to the filtering weight coefficient to obtain a real color difference of the central pixel as a first color difference; and calculating a pixel value of the denoised central pixel according to the first color difference and a preset denoising adjustment coefficient. By use of the above-mentioned scheme, the calculated amount of noise processing is reduced while guaranteeing denoising effects.

Description

technical field [0001] The invention relates to the field of image processing, in particular to a method and device for eliminating image noise. Background technique [0002] Each lens on a digital camera has a light sensor to measure the brightness of the light, but to obtain a full-color image, generally three light sensors are required to obtain red, green, and blue primary color information, and In order to reduce the cost and volume of digital cameras, manufacturers usually use charge-coupled device (Charge-coupled Device, CCD) or complementary metal oxide semiconductor CMOS (Complementary Metal Oxide Semiconductor) image sensor, with the color filter matrix ( Color Filter Array, CFA), so that each pixel only allows one primary color light to pass through to the pixel position, the noise of the primary color channels is different from each other, and because of this inconsistency, it will cause obvious colors on the image noise. [0003] The image processing process g...

Claims

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Application Information

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IPC IPC(8): G06T5/00G06T5/10
CPCG06T5/002G06T5/10G06T2207/20192G06T2207/20028G06T2207/20032G06T2207/10052
Inventor 凌晨彭晓峰朱洪波王浩
Owner SPREADTRUM COMM (SHANGHAI) CO LTD
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