Image quality enhancement and filtering method applied to CMOS image sensor

Abstract

The invention relates to an image quality enhancement and filtering method applied to a CMOS image sensor. According to the method, interpolation processing on original Bayer data outputted by the image sensor is carried out, and a pixel value of a three primary color RGB space is acquired; the pixel value of the three primary color RGB space is transformed to be YUV space; a contrast ratio of a Y channel is adjusted; saturation of U and V channels is adjusted; secondly, hybrid noise reduction processing is carried out; lastly, edge sharpening processing on the Y channel is carried out, and the image later processing data is outputted; the three primary colors RGB refer to red, green and blue three primary colors, the YUV space refers to chrominance space, the Y refers to brightness, and the U and the V refer to aberration. Through the method, a pipelining grade design idea is employed, the image data is not stored, only one-dimensional space image enhancement and noise reduction processing on the Bayer data after interpolation are carried out, technology processing performance is relatively good, complexity is low, the method facilitates hardware realization, and occupied chip sources are a few.

Description

[0001] field of invention [0002] The invention relates to the technical field of digital image processing, in particular to an image quality enhancement and filtering method applied to a CMOS image sensor. Background technique [0003] After the monolithic color complementary metal oxide semiconductor CMOS image sensor is photosensitive by the CFA (Color Filter Array), the light signal of the actual scene is converted into an electrical signal through the pixel unit. After a series of analog circuits and digital image processing, it will It is inevitable to introduce interference noise and distortion, resulting in a decrease in image quality. While affecting the visual effect, it is not conducive to subsequent image encoding, decoding and transmission. Therefore, in order to avoid image distortion and truly display image information, noise reduction and enhancement processing must be performed on noisy images. [0004] The prior art digital image processing technology integ...

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Problems solved by technology

[0005] In order to solve the problems existing in the digital image processing method integrated on the single-chip sensor in the prior art, such as complex methods, large resource occupation and unfavorable integration, the present invention proposes an image quality enhancement and filtering method applied to CMOS image sensors

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