High-dynamic thermal infrared image adaptive preprocessing method facing interference environment

Abstract

The invention discloses a high-dynamic thermal infrared image adaptive preprocessing method for an interference environment, and the method comprises the steps: S1, obtaining a gray scale range of effective content in a thermal infrared image I, and carrying out the dynamic normalization of the gray scale range, and obtaining a normalized thermal image N; s2, dividing bright and dark intervals according to a preset gray threshold, and performing gray mapping on dark area and bright area pixels of the N image to obtain a mapped image M; s3, calculating a gray average value L of the interference-free thermal image set, and multiplying the mapping image M by the gray migration coefficient T to obtain a gray self-adaptive stretching thermal image S; s4, separating the grayscale adaptive stretching thermal image S into a basic layer F and a detail layer D through an edge preserving filter, and performing mapping enhancement on the detail layer D to obtain Dout; and S5, adding the Dout of the mapped detail layer and the basic layer F, and carrying out quantization to obtain a preprocessed thermal image R. According to the invention, the existing high-dynamic thermal infrared image preprocessing method is substantially and obviously improved.

Description

technical field [0001] The invention relates to the technical field of infrared image processing, and more specifically relates to an adaptive preprocessing method for high dynamic thermal infrared images facing interference environments. Background technique [0002] In recent years, due to the development of electronic technology and the improvement of sampling accuracy, and the temperature of the infrared scene has a relatively large dynamic range, the scene can be a scene at room temperature, or a heat source up to hundreds of degrees (such as a forest fire source or a road burning point) etc.), in order to balance the detection dynamic range and detection accuracy, infrared imaging systems often output high dynamic thermal infrared images. However, in the application process of high dynamic thermal infrared images, there are practical problems such as gray concentration of effective content and high noise interference. [0003] Therefore, high dynamic thermal images ar...

AI Technical Summary

Problems solved by technology

However, the key issues that need to be solved in the processing of high dynamic thermal infrared images are: the contradiction between grayscale stretching, detail enhancement and background suppression

Because the traditional normalization tends to cause the image to be over-enhanced and lose the thermal information and thermal trend of the bright and dark areas; while the histogram equalization method tends to preferentially map the gray level of the background area or interference, resulting in low-frequency gray in the target area during the quantization process. The degree level is merged, and the target area of ​​the image is distorted; the stretching of the basic layer and the enhancement of image details by the image decomposition method in isolation are easy to cause visual defects such as halo phenomenon, gradient reversal and background noise amplification.

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