An image enhancement method based on gamma correction of infrared images

Abstract

The invention belongs to the image enhancement technology and relates to the improvement of the gamma correction method in the infrared image enhancement method. The steps of the enhancement method are as follows: Assuming that all pixel data of the kth frame image is read, first count the gray histogram of the frame image, and calculate the gray weighted average value (av) of all pixels according to the histogram, and then according to the image in the image The image grayscale sampling range [a, b] is combined with the grayscale weighted average to comprehensively determine the gamma correction curve, and finally use this curve to perform gamma correction enhancement on the image of the kth frame. The dynamic calculation of the gray scale sampling range in the method of the invention utilizes the information of the image scene and the gray scale distribution to the greatest extent. The dynamic correction of the correction curve makes the method not only suitable for image enhancement of specific target scenes, but also suitable for real-time adaptive image enhancement of different scenes.

Description

An image enhancement method based on gamma correction of infrared images technical field The invention belongs to the image enhancement technology and relates to the improvement of the gamma correction method in the infrared image enhancement method. Background technique In the infrared image enhancement, the grayscale transformation enhancement algorithm is mostly used. This type of algorithm belongs to the spatial domain enhancement method of the image. This type of transformation is a transformation that maps the grayscale value r of the pixel to the value s. Among them, Gamma Horse correction, that is, power transformation, converts the pixel value of the image according to the exponential function. In the traditional algorithm, the index value is usually set as a fixed value within 0.3 to 5, or the value of the index value can be set manually, but in the processing During the process, parameter variables cannot be changed adaptively according to the image. The disadv...

AI Technical Summary

Problems solved by technology

The disadvantage of this method is that the correction parameters cannot be updated in real time for infrared images of different types or in different scenes, resulting in images that are too bright or too dark

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