Method and system for adjusting image saturation

Abstract

The invention relates to a method and a system for adjusting the saturation of an image which comprises a plurality of pixels. The method comprises the following steps: providing an external adjustment coefficient, directly calculating the approximate value of the saturation of each pixel according to three primary color (RGB) component of each pixel, obtaining the adjustment quantity of the saturation of each pixel and adjusting each pixel of the image according to the adjustment quantity of the saturation and the RGB component of each pixel, wherein the adjustment quantity of the saturation of each pixel corresponds to the external adjustment coefficient and the approximate value of the saturation of each pixel. Therefore, different saturation adjustment actions onto the image can be performed according to the color of each pixel of the image, and the image which has better color and can not distort can be generated accordingly.

Description

technical field [0001] The present invention relates to an image adjustment method and system, and in particular to a method and system for adjusting image saturation. Background technique [0002] In image processing technology, the adjustment of saturation and illumination will probably have the most direct impact on the color performance of the image. Generally speaking, the display manufacturer implements a color adjustment circuit on the display chip, so that users can adjust the saturation or brightness of the image according to their habits or needs, so as to obtain the best output effect. [0003] In the traditional image saturation adjustment method, under the premise of maintaining the overall brightness of the screen, if you want to improve the vividness of the image, you must first perform a color space conversion operation on the image, so that the three primary colors (RGB) signals of each pixel Convert to a color difference signal (such as a YUV signal, where...

AI Technical Summary

Problems solved by technology

However, it is not difficult to imagine that when processing a pixel with a higher saturation (that is, more vivid), multiplying the adjustment parameter is likely to make the pixel become too saturated

Therefore, when processing the entire image, if each pixel is adjusted with the same adjustment parameters, it is likely that some pixels with high saturation and only slight differences will become oversaturated, thus losing details in the image, and may cause the image color to be too strong, resulting in unnatural color effects

[0005] In addition to the possible loss of details, increasing the saturation of the image through the above method is also quite complicated in the implementation of the circuit

Whether it is the conversion of the color space or the saturation calculation in the YUV color space, it must rely on a large number of complex mathematical calculations, which is not only not conducive to the realization of the circuit, but also requires a lot of hardware costs.

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