An Adaptive Infrared Image Enhancement Method Based on Visual Contrast Resolution

Abstract

The invention claims to protect an adaptive infrared image enhancement method based on a visual contrast resolution model. According to the feature that human vision has obvious difference in resolution ability in different gray scale ranges, the present invention divides image gray scale values ​​into three stages, corresponding to human scotopic vision, intermediate vision, and photopic vision, and then establishes corresponding human eye vision. Visual contrast resolution model; through the obtained image target and background grayscale difference, according to the model, the image target is adaptively mapped to the human eye sensitive area, and the image background is mapped to the human eye insensitive area, and the actual infrared image Simulation. The method of the invention has simple implementation process, small calculation amount, obvious image enhancement effect, and has application and popularization value.

Description

technical field [0001] The invention belongs to the technical field of image enhancement, in particular to an adaptive infrared image enhancement process based on a visual bionic human vision contrast resolution model. Background technique [0002] According to the grayscale statistical characteristics of infrared images, most of the grayscales of infrared images are concentrated in the adjacent grayscale range, and the sense of layering is poor, which is not conducive to the human eye to find the target. If it is mainly distributed in low grayscales, the image overall It is dark, so it needs to be enhanced. Traditional infrared enhancement methods, such as histogram equalization, grayscale transformation, and local contrast enhancement, etc. enhance the image contrast, but also amplify the background noise, the image layering is not strong, and the visual effect is poor. Since the image is finally observed by the human eye, the unique visual characteristics of the human ey...

AI Technical Summary

Problems solved by technology

[0006] The present invention aims at processing infrared images in the prior art, a large number of traditional algorithms are not combined with visual bionic knowledge, which cannot make infrared images have good visual effects, and a small number of image enhancement algorithms combined with visual bionics do not combine the characteristics of infrared images with bionic models. Precisely, a human visual contrast resolution model based on three visual conditions is proposed. This model combines the characteristics of the gray distribution of infrared images, fully considers the ability of human eyes to distinguish different visual states of infrared image gray, and then adapts Map infrared image targets and backgrounds to achieve enhanced image effects

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