Grading noise reduction system and grading noise reduction method

Abstract

The invention discloses a grading noise reduction system and a grading noise reduction method. The system comprises a Bayer data noise reduction unit, a demosaic module, an RGB data noise reduction unit and an automatic exposing unit. A CMOS sensor in a digital camera outputs Bayer format data, and the Bayer format data pass through the Bayer data noise reduction unit, the demosaic module and the RGB data noise reduction unit in sequence, wherein after passing through the demosaic module, the Bayer format data are converted into RGB format data, and the automatic exposing unit detects the converted RGB format data. The method comprise the following step: the automatic exposing unit judges the luminance of an application ambient light ray of a camera according to an exposing grade, thereby controlling the opening and the closing of the Bayer data noise reduction unit and the RGB data noise reduction unit. The invention does not add a storage row and a judgment operation to balance details and reduce noise and does not increase the consumption of a plurality of hardware resources when image detail maintenance and the noise reduction effect are balanced.

Description

technical field [0001] The invention relates to an adaptive noise reduction processing technology, in particular to a system and a method for balancing image details and noise reduction effects in an actual application environment of a digital camera. Background technique [0002] The digital camera is mainly composed of an image CMOS sensor and a controller chip, wherein the present invention is mainly aimed at the CMOS image sensor, which inevitably has noise in application. The noise mainly comes from: electronic noise, photoelectric noise, noise caused by the component material itself, noise caused by random disturbance of the imaging medium, and image jitter caused by the jitter of the mechanical structure of the imaging system, etc. Noise can be broadly classified into impulse noise and Gaussian noise regardless of the mechanism of noise generation. During the generation and transmission of image signals, they are often disturbed by various noises, which seriously aff...

AI Technical Summary

Problems solved by technology

At present, many noise reduction algorithms use more and more storage lines and judgment operations to achieve the purpose of maintaining details. However, for the controller chip design, this processing will undoubtedly consume a lot of hardware resources.

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