DocumentCode :
2951503
Title :
A Study on Spatial Scalable Coding using Vector Representation
Author :
YAMAMOTO, Yuki ; KAWAMURA, Kei ; Watanabe, Hiroshi
Author_Institution :
Graduate Sch. of Global Inf. & Telecommun. Studies, Waseda Univ., Saitama
fYear :
2006
fDate :
9-12 July 2006
Firstpage :
145
Lastpage :
148
Abstract :
The major advantage of vector representation of an image is that the image quality is maintained for arbitrary scaling. In recent years, a demand for scalable image coding has been increasing because of the wide variety of available digital contents and display terminals. Conventional scalable coding schemes are based on raster representation, and thus, line drawings deteriorate in quality when expanded and shrunk. In this paper, we propose an edge reconstruction method using vector representation for the purpose of keeping a consistent spatial scalability on transmission and display. We take an anti-aliasing into account in edge areas for approximation of luminance values around the edge. The proposed method can improve PSNR by up to 2 dB as compared to the conventional methods when image is expanded and shrunk
Keywords :
antialiasing; approximation theory; brightness; edge detection; image coding; image reconstruction; image representation; antialiasing; digital content; display terminal; edge reconstruction method; image coding; image quality; luminance value approximation; spatial scalable coding; vector representation; Decoding; Displays; Frequency conversion; Image coding; Image edge detection; Image quality; Image reconstruction; PSNR; Reconstruction algorithms; Scalability;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Multimedia and Expo, 2006 IEEE International Conference on
Conference_Location :
Toronto, Ont.
Print_ISBN :
1-4244-0366-7
Electronic_ISBN :
1-4244-0367-7
Type :
conf
DOI :
10.1109/ICME.2006.262590
Filename :
4036557
Link To Document :
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