Intelligent enhancement method based on dark region histogram area statistics of history frame image

Abstract

The invention discloses an intelligent enhancement method based on dark region histogram area statistics of history frame images. The method comprises following steps: capturing each frame image in input video streams; calculating the dark region histogram area of each frame image and the average value; when a previous frame flag is 0, counting whether the dark region histogram areas of N continuous frame images are all less than a first threshold value X1; if the demand is satisfied, entering self-adaptive gamma enhancement processing, or directly outputting results; when detecting that the previous frame flag is 1, counting whether the dark region histogram areas of N continuous frame images are all more than a second threshold value X2; if the demand is satisfied, quitting the enhancement processing, and directly outputting results, or continuing to carry out the enhancement processing. According to the actual measurement of the method of the invention, in low illumination level environments such as in the night, the enhancement function can be self-adaptively started through the algorithm; the enhancement function is automatically closed under relatively strong ray condition; and many low illumination level enhancement algorithms can be automatically started and closed through the intelligent mode.

Description

technical field [0001] The invention relates to a video enhancement algorithm, in particular to an intelligent enhancement method based on the area statistics of the histogram of the dark area of ​​the historical frame image. Background technique [0002] In the field of security, most cameras have integrated enhancement algorithms such as adjustable brightness and contrast. However, these functions need to be adjusted manually, which cannot meet the complex and changeable actual application environment. Especially in the case of a large number of cameras, it is time-consuming and laborious to manually adjust each camera. Contents of the invention [0003] The purpose of the present invention is to overcome the deficiencies of the prior art, and provide an intelligent enhancement method for performing statistics on the histogram area of ​​the dark area of ​​the historical frame image of the video, and analyzing whether the next frame needs to be enhanced. [0004] The obj...

AI Technical Summary

Problems solved by technology

[0002] In the field of security, most cameras have integrated enhancement algorithms such as adjustable brightness and contrast. However, these functions need to be adjusted manually, which cannot meet the complex and changeable actual application environment.

Especially in the case of many cameras, manually adjusting each camera is time-consuming and laborious

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