Color based grayscale-fused Image enhancement algorithm for video surveillance

Jing Li, Quan Pan, Tao Yang, Yong Mei Cheng

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

19 Scopus citations

Abstract

Multiple sensors image fusion is increasingly being employed in video surveillance. This paper presents a color based grayscale-fused image enhancement algorithm. The main advantage of this algorithm is to stand out meaningful information of a certain sensor in selected band of the color space, while maintain the high resolution of the grayscale-fused image. Moreover, a performance evaluation method based on analyzing the average gradients of the color-fused image is presented and experiments are performed using images under complex environment. The results show that the addition of color to grayscale-fused image can significantly increase observer's sensitivity and the accuracy of further classification and recognition.

Original languageEnglish
Title of host publicationProceedings - Third International Conference on Image and Graphics
Pages47-50
Number of pages4
DOIs
StatePublished - 2004
EventProceedings - Third International Conference on Image and Graphics - Hong Kong, Hong Kong
Duration: 18 Dec 200420 Dec 2004

Publication series

NameProceedings - Third International Conference on Image and Graphics

Conference

ConferenceProceedings - Third International Conference on Image and Graphics
Country/TerritoryHong Kong
CityHong Kong
Period18/12/0420/12/04

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