Infrared image enhancement method based on texture weighted histogram equalization

Abstract

The invention discloses an infrared image enhancement method and device based on texture weighted histogram equalization, equipment and a computer readable storage medium. The method comprises the steps of determining a local extremum difference of each pixel point in an original infrared image; comparing the local extremum difference of each pixel point with a preset difference threshold, and recording the positions of the pixel points of which the local extremum differences are greater than or equal to the preset difference threshold in the original infrared image to obtain a statistical area; performing histogram statistics on the original infrared image in the statistical area to obtain a statistical area histogram; carrying out nonlinear transformation on the histogram of the statistical region to obtain a histogram after nonlinear transformation; performing cumulative probability distribution calculation on the histogram after nonlinear transformation to obtain a gray mapping function; and inputting the original infrared image into the grayscale mapping function, and outputting a target enhanced infrared image. According to the method, the device, the equipment and the computer readable storage medium provided by the invention, the phenomena of background overenhancement and local noise amplification can be inhibited.

Description

technical field [0001] The present invention relates to the technical field of image processing, in particular to an infrared image enhancement method, device, equipment and computer-readable storage medium based on texture weighted histogram equalization. Background technique [0002] The original infrared image usually has the characteristics of low contrast and high background brightness, and the details of the image are submerged in the background, which greatly increases the difficulty of target detection and recognition. Therefore, an image enhancement algorithm with simple calculation and good effect is needed to improve image contrast. Histogram equalization is a classic image contrast enhancement algorithm, which is not only simple, but also can effectively enhance image contrast. However, traditional histogram equalization tends to enhance high-probability gray levels and suppress low-probability gray levels. When directly applied to infrared images, there will b...

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Problems solved by technology

[0004] The object of the present invention is to provide an infrared image enhancement method, device, equipment and computer-readable storage medium based on texture weighted histogram equalization to solve the problem of excessive background when the histogram is used to enhance the infrared image in the prior art. The problem of enhancement, local noise amplification phenomenon

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