Adaptive mapping algorithm and device for keeping infrared image target and background not suppressed
An infrared image, adaptive technology, applied in image enhancement, image analysis, image data processing and other directions, can solve the problem of overall image flicker, difficulty, noise amplification in local areas, etc., to suppress flicker, smooth edge areas, and suppress noise. produced effect
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Embodiment 1
[0052] Adaptive Mapping Algorithm to Keep Infrared Image Target and Background Unsuppressed
[0053] Such as figure 1 As shown, the adaptive mapping algorithm to keep the infrared image target and background unsuppressed includes the following steps:
[0054] Step 1: Preprocessing the infrared original image data to obtain the first infrared image.
[0055] Step 2: Carry out block processing on the first infrared image, divide it into multiple image areas, and count the histogram information of each image area; calculate the cumulative histogram minimum gray value Pix of each image area min and the maximum gray value Pix max .
[0056] The first infrared image is divided into 4-8 image areas, and the area of each image area is the same. In this embodiment, the first infrared image is divided into four image areas.
[0057] Calculate the cumulative histogram minimum gray value Pix of each image area by the following method min and the maximum gray value Pix max .
[0...
Embodiment 2
[0077] A device for keeping infrared image targets and backgrounds from being suppressed
[0078] include:
[0079] An image preprocessing unit, configured to preprocess infrared raw image data to obtain a first infrared image;
[0080] an image processing unit for:
[0081] The first infrared image is divided into blocks, divided into multiple image areas, and the histogram information of each image area is counted; the cumulative histogram minimum gray value Pix of each image area is calculated min and the maximum gray value Pix max ;
[0082] Based on the minimum gray value Pix min and the maximum gray value Pix max , modify the cumulative histogram of each image area;
[0083] Calculate the minimum gray value out of the extreme value range of each image area map min and the maximum gray value out max ; Based on the minimum gray value out min and the maximum gray value out max , establishing the mapping relationship between the output and input of each image area ...
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