Image correction method for green channel imbalance of Bayer domain, and image correction system thereof

Abstract

The invention discloses an image correction method for green channel imbalance of a Bayer domain, and an image correction system thereof. The invention discloses an image correction method, which comprises the following steps: obtaining image information based on a Bayer domain, the image information comprising monochromatic light information collected by R, B, Gr and Gb pixel points; respectively setting each correction point (Gr / Gb) as image detail information or non-image detail information to respectively solve an adjustment value V1 set based on the image information and an adjustment value V2 set based on the non-image detail information; according to the discrete degree of the correction point (Gr / Gb) and other homochromatic reference points (Gr / Gb) in the local neighborhood of the correction point and the noise intensity of each correction point, adjusting the V1 and the V2, and obtaining a final adjustment value V, wherein V = omega1 * V1 + omega2 * V2, and omega1 and omega2 are the weighted weights of the V1 and the V2 respectively; and applying an adjustment value V to the correction point (Gr / Gb).

Description

technical field [0001] The present invention relates to the field of image processing, and more specifically, relates to an image correction method and image correction system for unbalanced green channel in Bayer domain. Background technique [0002] With the development of technology, computing devices are gradually applied to all levels of modern society and have made great contributions to the development of modern society, including but not limited to digital cameras, video cameras, smart phones, navigation systems, etc. In particular, in recent years, digital cameras and other devices capable of collecting images have become more and more popular, and the requirements for their image quality are getting higher and higher. [0003] Such as figure 1 It is a schematic diagram of an existing image acquisition device, which includes an optical lens 1P, a photosensitive chip 5P, an AD converter (Analog-to-digital converter) 3P and an image processor 4P. In particular, when...

AI Technical Summary

Problems solved by technology

Undoubtedly, the imbalance of the green channel is interference information in the RGB image, which will not only directly lead to the deterioration of the visual effect of the image, but also affect the subsequent research based on image information and the development of related applications.

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