Image contrast enhancing method and apparatus and non-transient computer readable medium

Abstract

The invention provides an image contrast enhancing method and apparatus and a non-transient computer readable medium. The method includes determining a segment point according to at least one segment threshold value and pixel statistical data of one picture, wherein the segment point is used for dividing the pixel statistical data into a first part of the statistical data and a second part of the statistical data; determining a first part brightness conversion function and a second part brightness conversion function in accordance with the first part of the statistical data and the second part of the statistical data respectively, wherein the first part brightness conversion function is used for adjusting brightness values of a plurality of pixels corresponding to the first part of the statistical data in the picture, and the second part brightness conversion function is used for adjusting brightness values of a plurality of pixels corresponding to the second part of the statistical data in the picture. The method can enhance the contrast of the picture without sacrificing the contrast of small areas.

Description

technical field [0001] The invention relates to image processing, in particular to a method and device for enhancing image contrast and a non-transitory computer readable medium. Background technique [0002] The technology of image processing is quite mature, and there are many literatures that provide a variety of algorithms for reference; however, in practice, traditional image processing methods still have shortcomings in image processing. [0003] According to the related art, the algorithms used in traditional image processing methods are not suitable for some special scenes. Therefore, in these special scenes, the image processing results produced by traditional image processing methods are not ideal. For example, the traditional histogram equalization method often has the problem of too strong contrast in the processing of the picture, or the problem of sacrificing the contrast of a small area of ​​the picture; this usually results in the details of some brightness g...

AI Technical Summary

Problems solved by technology

[0002] The technology of image processing is quite mature, and there are many literatures that provide a variety of algorithms for reference; however, in practice, traditional image processing methods are still insufficient for image processing

[0003] According to related technologies, traditional image processing methods are not suitable for some special scenes when using algorithms for picture processing, so in these special scenes, the picture processing results produced by traditional image processing methods are not ideal

For example, the traditional histogram equalization method often has the problem of too strong contrast in the processing of the picture, or the problem of sacrificing the contrast of a small area of ​​the picture; this usually results in the details of some brightness grayscales in the picture being Abandoned, and unable to meet the needs of users

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