Image enhancement method and device, electronic equipment and medium

Abstract

The embodiment of the invention discloses an image enhancement method and device, electronic equipment and a medium. The method comprises the steps of determining an upper platform threshold value anda lower platform threshold value of double-platform histogram equalization according to a mean value and a standard deviation of histogram values corresponding to gray values of a base layer image, and performing double-platform histogram equalization processing on the base layer image to obtain a target base layer image; performing gain processing on the detail layer image based on the gain coefficient, and performing piecewise mapping processing based on a piecewise function to obtain a target detail layer image; fusing the target base layer image and the target detail layer image to obtainan enhanced target image, wherein the base layer image and the detail layer image are obtained by filtering the target image. According to the scheme, the problem of excessive stretching of the background can be effectively solved, and details of the image are enhanced while excessive enhancement of the noise of the image is avoided.

Description

technical field [0001] The embodiments of the present application relate to the technical field of image processing, and in particular, to an image enhancement method, device, electronic equipment, and medium. Background technique [0002] Digital Detail Enhancement (DDE) technology is an image processing technology that has developed rapidly in recent years. The DDE algorithm enhances the contrast between the target and the background in the scene and the fine structure of the target's own surface (such as edges, contours, textures, etc.) The contrast can improve the ability to detect and recognize small targets, enhance the accuracy of understanding image content and key details, and provide a basis for human judgment or subsequent automatic recognition and tracking. [0003] When the current image enhancement technology processes images with concentrated gray levels and a small range of gray value changes, it cannot solve the problem of excessive background stretching, an...

AI Technical Summary

Problems solved by technology

[0003] When the current image enhancement technology processes images with concentrated gray levels and a small range of gray value changes, it cannot solve the problem of excessive background stretching, and the scene applicability is poor.

And there are problems such as image noise enhancement and loss of some details

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