Daytime image reference assisted night monitoring video quality improvement method

Abstract

The invention provides a nighttime monitoring video quality improvement method assisted by daytime image reference. The method is based on a homomorphic filtering basic theory. Different from a traditional homomorphic filtering algorithm, the method has the advantages that daytime background information in the same scene is used as a reflection component to calculate an illuminance component of anight background, similar pixel blocks of the foreground are found around the night foreground, the illuminance component of the foreground is constructed according to the similar block relation of the foreground and the background, and the purpose of enhancing the night foreground is achieved. According to the method, the problems of enhancement failure and image discordance in an extremely darkarea are well solved. According to the method, the phenomena of'lumps' and'halo 'in an SSR algorithm and an MSRCR algorithm are eliminated, the problem of'ghosting' in a Denoising algorithm is eliminated, the problem of color distortion in a classic algorithm in the prior art is greatly improved, the contrast of images after quality improvement is enhanced obviously, and the overall quality of a night monitoring video is greatly improved.

Description

technical field [0001] The invention relates to a method for improving the quality of night surveillance video, in particular to a method for improving the quality of night surveillance video aided by daytime image reference, and belongs to the technical field of night video quality improvement. Background technique [0002] With the rapid improvement of modernization, especially the vigorous development of Internet + in recent years, economic and social activities have been stimulated to a large extent. When the economic and social development is rapid, it is bound to be accompanied by the emergence of various social problems. First of all, the popularization of modern means of transportation such as high-speed rail has greatly promoted the speed of population flow, while the social monitoring and security mechanism has not fully kept up with the pace of economic development, and various preventive and countermeasures and systems are not fully in place. There is still great...

AI Technical Summary

Problems solved by technology

The method of the present invention well solves the problems of enhancement failure and image incongruity in extremely dark areas, eliminates the "clump" and "halo" phenomena in the SSR algorithm and the MSRCR algorithm, and eliminates the "ghost image" in the Denighting algorithm "problem, greatly improved the color distortion problem in the classic algorithm of the existing technology, the contrast of the image after enhancement and quality improvement is obvious, and the overall quality of the night surveillance video has been greatly improved

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