Modified grey world method to detect and restore colour cast images. Issue 7 (29th April 2019)

• Record Type: Journal Article
• Authors: Liu, Chang; Chen, Xianqiao; Wu, Yirong
• Is Part Of: IET image processing. Volume 13:Issue 7(2019)
• Page Start: 1090
• Page End: 1096
• Publication Date: 2019-04-29
• Subjects: image enhancement -- image colour analysis -- video surveillance; average colour value -- YUV colour space -- detecting restoring colour -- classic methods -- colour cast image -- specific colour cast -- simple colour -- multiple colour -- YUV colour values -- modified grey world method -- safety city surveillance system -- Wuhan city -- outdoor surveillance videos; Image processing -- Periodicals; 621.36705
• DOI: 10.1049/iet-ipr.2018.5523
• Languages: English
• ISSNs: 1751-9659

Abstract

Abstract : This study proposes a new, simple but effective technique to detect and restore colour cast images, named modified grey world method. This method detects colour cast images of outdoor surveillance videos by computing the values in the YUV colour space, which makes it much easier than classic methods. Specific colour cast can be found out by calculating the hue values. Additionally, this method can detect not only simple colour cast images but also multiple colour cast images simultaneously. To detect and restore a colour cast image, the authors first remove all grey pixels and separate it into multiple parts with a maze‐solving algorithm. Then, they compute the YUV colour values of each part. If the values are too high or too low, this part of the input image is designated as a colour cast. Finally, they carry out a restoration procedure, in which they calculate weights by matching average colour value with a grey reference value in YUV colour space. This method has been tested in the Safety City surveillance system in Wuhan city, China. The results show that the proposed method leads to better results in detecting and restoring colour cast imaging than classic methods in outdoor surveillance videos.