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 and calculation, etc.

Active Publication Date: 2019-12-27
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 calculation amount of noise processing while ensuring the denoising effect

Method used

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

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Embodiment Construction

[0084] The image processing process usually includes: acquiring an image in the Bayer domain, performing color interpolation processing on the image, and then converting the color interpolation processed image into an image in the RGB domain, and then converting the RGB The image on the domain is converted to the image on the YUV domain.

[0085] At present, after obtaining the image in the YUV domain, in order to remove the color noise on the image, the image in the YUV domain is processed to eliminate noise.

[0086] However, using the above methods for noise processing requires a large amount of noise processing calculations.

[0087] In order to solve the above-mentioned problems, the embodiment of the present invention receives the image block in the Bayer domain, and then calculates the pixel value of the central pixel of the image block after removing the noise, that is, eliminates the image block in the Bayer domain. Noise processing, and the image processing on the Bayer do...

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Abstract

The invention discloses a method and device for eliminating image noises, wherein an image comprises p image blocks, the size of each image block is M * N, M and N are both odd numbers, and the methodcomprises the following steps: receiving the image blocks in a Bayer domain; taking a sub-image block with the size of Sm * Sn by taking a pixel with the same channel as the central pixel as the center, the central pixel being the central pixel of the received image block, and Sm and Sn being odd numbers; obtaining a filtering weight coefficient of each sub-image block, and filtering the image block according to the filtering weight coefficient to obtain a real color difference of the central pixel as a first color difference; and calculating the pixel value of the denoised central pixel according to the first color difference and a preset denoising adjustment coefficient. By adopting the scheme, the calculated amount of noise processing can be reduced while the de-noising effect is ensured.

Description

Technical field [0001] The present invention relates to the field of image processing, and 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. However, to obtain a full-color image, three light sensors are generally required to obtain the information of the three primary colors of red, green, and blue respectively. In order to reduce the cost and volume of digital cameras, manufacturers usually use charge-coupled devices (CCD) or complementary metal oxide semiconductor CMOS (Complementary Metal Oxide Semiconductor) image sensors with a color filter matrix ( Color Filter Array, CFA), so that each pixel only allows one primary color light to pass through to the pixel location. The noise between primary color channels is different from each other, and due to this inconsistency, obvious colors appear on the image Noise. [0003] The image processing pro...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06T5/00G06T7/90
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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