Image color enhancement method and device

Abstract

The invention discloses an image color enhancement method and device. The image color enhancement method comprises steps of 1, acquiring color components of an image, and transforming the color components into hue, saturation and value (HSV) space from red, green and blue (RGB) space to obtain HSV space parameters, namely, hue, saturation and value; 2, performing gain operation on saturation and value selectively according to judgement on saturation of the HSV space; 3, transforming the obtained HSV space parameters to the RGB space. According to the image color enhancement method, judgement is performed on saturation after the color components are transformed to the HSV space, then the gain operation is performed selectively through a gain function according to results, therefore, the gain operation is performed completely without judgement after transformation in the prior art is avoided, and the image color can be enhanced while color cast of pure color gray scale and skin supersaturation in image display are avoided.

Description

technical field [0001] The invention relates to the field of image processing, in particular to a method and device for image color enhancement. Background technique [0002] With the development of display technology, users have higher and higher requirements for display picture quality, and bright colors can give people a better visual experience. Therefore, more and more LCD driver chips have added image color enhancement functions. . [0003] At present, there are two common image color enhancement methods: the first type of enhancement method does not carry out spatial conversion, and the R (Red, red), G (Green, green) and B (Blue, blue) in the image, that is, the three primary colors The components are scaled and shifted in the same way, so as to achieve the purpose of invariant hue; the second type of enhancement method is to convert the color components from the RGB space to other spaces, and perform corresponding calculations, and then convert back to RGB space. ...

AI Technical Summary

Problems solved by technology

The above-mentioned second method of color enhancement is better than the first method, and can enhance the color of the image. The purpose of color enhancement is to improve the display quality of the picture. Gain calculations are performed on all components after judgment, and the following problems will occur after color enhancement: If it is a pure color gray scale, if the saturation value is used for gain calculations, the displayed color will change, which will cause color shift in the pure color gray scale; if it is For color screens, the gain operation is performed on the saturation value, and the screen display such as skin color will produce oversaturation

[0004] Therefore, if the parameters of each component of the converted space are not analyzed and judged after the space conversion, the appropriate gain calculation cannot be performed, and the scheme of the gain calculation cannot be selected, which will further cause color shift and oversaturation, resulting in image distortion. decline in quality

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