Video image enhancement processing method based on background reuse

Abstract

The invention proposes a video image enhancement processing method based on background reuse. A conclusion that a common background has invariance property in a video recorded by a fixed camera is made through observation and comparison. The method carries out the background reuse according to the invariance property. The method comprises the steps: firstly recognizing a moving object in the video through employing an inter-frame difference algorithm, finding the minimum and maximum coordinates of the moving object through the continuous comparison with a threshold value, and marking the rectangular frame of the moving object; secondly carrying out the background extraction and refreshing through employing a simplified continuous frame difference method; thirdly respectively carrying out the defogging of the moving object and the background through employing a dark primary color prior method, carrying out the frame-by-frame defogging of the moving object, carrying out the timing processing of the background, combining the background with the moving object after defogging, and completing the defogging of the video. The method advantageous in that the method can greatly improve the operating speed in the video with the fixed background, and achieves the high-quality video defogging effect.

Description

technical field [0001] The invention belongs to the technical field of image processing, and relates to an image enhancement processing method, in particular to a video image enhancement processing method based on background multiplexing. Background technique [0002] Video images have become the main way and means of obtaining information today, and it is also the most intuitive, objective and effective way to understand things. There are many ways to obtain video images, such as cameras, video cameras, surveillance cameras, mobile phones and other photographic equipment. There are also various software for making video images, such as VideoStudio, Digital Master, Effects, etc. The quality of the video image directly determines the subsequent discrimination, analysis, recognition, calculation, etc., so before the discrimination, analysis and calculation of the video image, it is necessary to process the video image directly captured by the camera equipment to improve the qu...

AI Technical Summary

Problems solved by technology

Although the history of image defogging technology is only a short period of more than 20 years, it has achieved good results, and new methods are constantly emerging, but there are some limitations and slow running speeds. the disadvantages of

Because the image defogging technology spans multiple disciplines such as physics, atmospheric science, mathematics, and detection, and because of the uncertainty and complexity of weather conditions, the research on defogging becomes difficult.

[0004] The processing of foggy images has been basically mature and has been continuously improved, but there is still little research in the field of video image dehazing.

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