Compression display method of high dynamic range infrared image

Abstract

The invention discloses a compression display method of a high dynamic range infrared image, which comprises the following steps: firstly, carrying out gray value statistics on a single frame of high dynamic range infrared image to obtain an original gray histogram; then, adopting an S-type nonlinear mapping function to compress the original gray level histogram, and obtaining a corrected new histogram; and finally, determining a cumulative distribution function according to the new histogram, and carrying out gray scale equalization reconstruction processing according to the cumulative distribution function to finally obtain an infrared image with a low dynamic range. According to the compression display method of the high-dynamic-range infrared image provided by the invention, the peak value distribution of the background gray level can be effectively reduced on the basis of keeping the original gray level histogram distribution, so that the low-dynamic-range infrared image after gray level compression has a good visual effect; and when a complex target scene is dealt with, a satisfactory low dynamic range image can be further generated by properly adjusting control parameters.

Description

technical field [0001] The invention belongs to the field of high dynamic range infrared image processing, and in particular relates to a compression display method for high dynamic range infrared images. Background technique [0002] Infrared thermal imaging technology is widely used in remote sensing, security, and night vision because it can convert the invisible thermal radiation from the target itself into a grayscale image visible to the human eye, and realize passive imaging of the temperature difference perception of the target of interest. and many other fields. At present, in order to cope with the target scene with rich temperature changes and maintain its sensitive and accurate thermal perception ability, advanced infrared thermal imaging systems usually use high-precision analog-to-digital converters to sample and quantify the electrical signals output by infrared detectors. This also makes the acquired infrared image have a high dynamic range, generally 14-bit...

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Problems solved by technology

[0004] At present, the linear mapping method AGC (Automatic Gain Control) is the main dynamic range compression display method used in infrared imaging systems. However, this traditional method is sometimes difficult to deal with thermal scenes with complex and variable temperature differences, resulting in contrast in the generated low dynamic images. Low, fuzzy details and other issues, which are not conducive to image display observation and subsequent further processing

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