An Image Enhancement Method for Scene Adaptive Wide Dynamic Infrared Thermal Imaging

Abstract

The invention provides an image enhancement method for scene-adaptive wide dynamic infrared thermal imaging, which belongs to the technical field of image processing, comprising the following steps: calculating and obtaining an initial low-frequency base layer image according to a 16-bit original image by using a bilateral filtering algorithm; calculating and obtaining an initial low-frequency base layer image High-frequency detail image; perform adaptive histogram equalization operation CLAHE on the initial low-frequency base image to obtain the first 8-bit low-frequency base image; perform global histogram equalization on the initial low-frequency base image to obtain the second 8-bit low-frequency base Image; according to the initial high-frequency detail image, the final high-frequency detail image is obtained by automatic gain control operation; the final low-frequency base layer image is obtained by linear weighting calculation; the final high-frequency detail image and the final low-frequency base-level image are fused to obtain Enhanced output image. The invention solves the problems of poor scene adaptability and over-enhancement in the existing infrared thermal imaging wide dynamic range image enhancement technology.

Description

technical field [0001] The invention belongs to the technical field of image processing, in particular to an image enhancement method for scene adaptive wide dynamic infrared thermal imaging. Background technique [0002] With the rapid development of science and technology, infrared imaging systems are getting more and more extensive and in-depth applications in military and civilian applications. At the same time, people's requirements for image quality in thermal imaging systems are also getting higher and higher. In the infrared thermal imaging data acquisition system, a 14-bit or 16-bit analog-to-digital converter (Analog-to-digital converter, ADC) is usually used to collect the raw data output by the detector, which contains rich scene information. Since the infrared thermal image is finally presented to the human eye, and the human eye can only distinguish 128 gray levels (8 bits), the processing of the infrared thermal image is faced with the problem of dynamic range...

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Problems solved by technology

[0004] Aiming at the above shortcomings in the prior art, the present invention provides a scene-adaptive wide dynamic infrared thermal imaging image enhancement method that solves the problems of poor scene adaptability and over-enhancement of the existing infrared thermal imaging wide dynamic range image enhancement technology

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