DocumentCode
3216532
Title
Perception-based Multi-quality Image Compression for Efficient Transmission
Author
Rong, Mei
Author_Institution
Dept. of Electr. Eng., Ryerson Univ., Toronto, Ont.
fYear
2006
fDate
12-15 Dec. 2006
Firstpage
817
Lastpage
820
Abstract
This paper proposes an efficient image compression algorithm based on visual perception. It automatically detects the important regions using saliency maps, then different regions are compressed in different qualities. Several adaptive methods are compared. This algorithm is expected to provide efficient image transmission through band-limited networks
Keywords
data compression; image coding; visual communication; visual perception; adaptive methods; band-limited networks; image transmission; perception-based multi-quality image compression; saliency maps; visual perception; Digital images; Humans; Image coding; Image communication; Image reconstruction; Image segmentation; Image storage; Signal processing algorithms; Transform coding; Visual perception;
fLanguage
English
Publisher
ieee
Conference_Titel
Intelligent Signal Processing and Communications, 2006. ISPACS '06. International Symposium on
Conference_Location
Yonago
Print_ISBN
0-7803-9732-0
Electronic_ISBN
0-7803-9733-9
Type
conf
DOI
10.1109/ISPACS.2006.4286603
Filename
4286603
Link To Document