Nonlinear adaptive infrared image enhancing method

Abstract

The invention relates to a nonlinear adaptive infrared image enhancing method, which comprises the following steps: A) inputting original image data and counting a histogram; B) analyzing the histogram and counting the sizes, positions and widths of each crest and trough, and confirming a main peak; C) substituting the main peak in an application formula and acquiring a nonlinear mapping curve through calculation; D) calculating to acquire a gray level histogram mapping table corresponding to the whole image; and E) using the histogram mapping table established in the step D to perform table look-up mapping on the histogram counted in the step A), thereby forming a new image data, sending the image data to a terminal and displaying. By using the nonlinear adaptive infrared image enhancing method provided by the invention, the image contrast can be obviously promoted while the image details are maintained, and the problems of the traditional image enhancing method that the noise suppression capability and the scene adaptability are inferior under a simple background and the infrared video flickers when the scene changes largely are solved, thereby increasing the environmental adaptability of an infrared imaging system.

Description

technical field [0001] The invention relates to the research fields of infrared imaging components and infrared thermal imaging, in particular to a nonlinear self-adaptive infrared image enhancement method of infrared imaging components. Background technique [0002] The third-generation infrared thermal imaging system based on staring infrared focal plane devices has been widely used in night vision, astronomy, maritime rescue search, industrial thermal detection, military and medical fields. However, because infrared thermal imaging depends on the radiation difference between various imaging factors in the scene, the effective gray scale of the original image output by the infrared focal plane array is too concentrated, and conventional processing methods have disadvantages such as poor target contrast and blurred scene details. Therefore, it is very necessary to enhance the original image data output by the infrared focal plane array to make it suitable for specific appli...

AI Technical Summary

Problems solved by technology

[0014] The technical problem to be solved by the present invention is to provide a non-linear adaptive infrared image enhancement method, which can not only significantly improve image contrast, but also maintain image details, and solve the noise suppression ability and scene adaptation of traditional image enhancement methods in simple backgrounds. Poor performance, and problems such as "flicker" in infrared video when the scene changes greatly, so as to improve the environmental adaptability of the infrared imaging system

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