Title :
Perception-based Multi-quality Image Compression for Efficient Transmission
Author_Institution :
Dept. of Electr. Eng., Ryerson Univ., Toronto, Ont.
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;
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
DOI :
10.1109/ISPACS.2006.4286603
