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http://dx.doi.org/10.9708/jksci.2010.15.11.031

An ROI Coding Technique of JPEG2000 Image Including Some Arbitrary ROI  

Hong, Seok-Won (경상대학교 컴퓨터과학과, 컴.정보통신연구원)
Kim, Sang-Bok (경상대학교 컴퓨터과학과, 컴.정보통신연구원)
Seo, Yeong-Geon (경상대학교 컴퓨터교육과, 컴.정보통신연구원)
Publication Information
Journal of the Korea Society of Computer and Information / v.15, no.11, 2010 , pp. 31-39 More about this Journal
Abstract
In some image processing system or the users who want to see a specific region of image simply, if a part of the image has higher quality than other regions, it would be a nice service. Specifically in mobile environments, preferential service was needed, as the screen size is small. So, JPEG2000 supplies this function. But this doesn't support the process to extract specific regions or service and does the functions to add some techniques. It is called by ROI(Region-of-Interest). In this paper, we use images including human faces, which are processed most preferentially and compressed with high quality. Before an image is served to the users, it is compressed and saved. Here, the face parts are compressed with higher quality than the background which are relatively with lower quality. This technique can offer better service with preferential transferring of the faces, too. Besides, whole regions of the image are compressed with same quality and after searching the faces, they can be preferentially transferred. In this paper, we use a face extraction approach based on neural network and the preferential processing with EBCOT of JPEG2000. For experimentation, we use images having several human faces and evaluate objectively and subjectively, and proved that this approach is a nice one.
Keywords
ROI; Automatic ROI extraction; JPEG2000; ROI Coding; Neural Network;
Citations & Related Records
Times Cited By KSCI : 4  (Citation Analysis)
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