Video monitoring image enhancement method based on color migration matching features

Abstract

The invention provides a video monitoring image enhancement method based on color migration matching features. The problem of color enhancement under a monitoring video image is solved by using a color migration method according to the characteristics of the monitoring video image and the continuity and stability of the monitoring video image; under the same scene, the color features of the video image with good monitoring image quality are migrated to the video image needing to be enhanced, or the video image color information with more image color information and a block effect is subjected to color migration, so that the video image to be processed is subjected to color enhancement; a Gaussian pyramid is used for extracting feature points of the video image, so that it is guaranteed that the feature points of the videoimage under different scales can be extracted, the videoimage brightness texture is used for restraining the color, the block effect caused by color enhancement of the videoimage is reduced, videoimage information is enhanced while videoimage color enhancement is guaranteed, the image quality of a target person or a vehicle is good, and powerful support is provided for urban comprehensive management.

Description

technical field [0001] The invention relates to a video surveillance image enhancement method, in particular to a video surveillance image enhancement method with color migration and matching features, and belongs to the technical field of video surveillance image enhancement. Background technique [0002] With the rapid development of the economy and society, urbanization is getting faster and faster, and the comprehensive management of the city is facing huge challenges. The monitoring methods and monitoring methods for social public events and public areas in large and medium-sized cities are mainly security video monitoring systems. At the same time, with the widespread use of video surveillance systems in areas such as traffic and security, it is increasingly important to enhance image processing in surveillance scenarios and improve target identification information. The effect of the urban security monitoring system is closely related to the image quality collected by...

AI Technical Summary

Problems solved by technology

[0014] Aiming at various problems in the field of surveillance video, for example, some outdoor surveillance can only work well in good weather, and the image quality degrades seriously under conditions such as heavy fog, dust, and low light. Great difficulties have been caused. The present invention makes full use of the unique functions of the monitoring system to enhance the monitoring video image, enhance the information of the degraded image of the video monitoring, and propose a method based on texture constraints, using the idea of ​​color transfer to solve the video problem. The problem of color cast in the monitoring image and color enhancement in the case of colorless image, keep the color without distortion, simulate the visual characteristics of the human eye to restore color information, and use the existing color enhancement algorithm for the monitoring video image to easily produce color distortion and block effect, use the method of color migration to enhance the color of the image, and improve the color enhancement algorithm, constrain the color information of the image based on the brightness texture information, realize the color enhancement of the surveillance video image, and solve the problem of color in the prior art Enhanced block effects and abnormal colors when applied to surveillance video images

Images