Third International Conference on Image and Graphics (ICIG'04)
Color Based Grayscale-Fused Image Enhancement Algorithm for Video Surveillance
Hong Kong, China
December 18-December 20
ISBN: 0-7695-2244-0
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.
Citation:
Jing Li, Quan Pan, Tao Yang, Yong mei Cheng, "Color Based Grayscale-Fused Image Enhancement Algorithm for Video Surveillance," icig, pp.47-50, Third International Conference on Image and Graphics (ICIG'04), 2004