DocumentCode
1646892
Title
Adaptive color image compression based on visual attention
Author
Ouerhani, Nabil ; Bracamonte, Javier ; Hügli, Heinz ; Ansorge, Michael ; Pellandini, Fausto
Author_Institution
Inst. of Microtechnol., Neuchatel Univ., Switzerland
fYear
2001
Firstpage
416
Lastpage
421
Abstract
This paper reports an adaptive still color image compression method which produces automatically selected ROI with a higher reconstruction quality with respect to the rest of the input image. The ROI are generated on-the fly with a purely data-driven technique based on visual attention. Inspired from biological vision, the multicue visual attention algorithm detects the most visually salient regions of an image. Thus, when operating in systems with low bit rate constraints, the adaptive coding scheme favors the allocation of a higher number of bits to those image regions that are more conspicuous to the human visual system. The compressed image files produced by this adaptive method are fully compatible with the JPEG standard, which favors their widespread utilization
Keywords
adaptive codes; data compression; image coding; image colour analysis; image reconstruction; image segmentation; visual perception; JPEG standard; adaptive coding; automatically selected ROI; bit allocation; color image compression; data-driven technique; human visual system; multicue visual attention algorithm; reconstruction quality; still color image; visually salient regions; Adaptive coding; Biological system modeling; Color; Computational modeling; Feature extraction; Humans; Image coding; Image reconstruction; Layout; Visual system;
fLanguage
English
Publisher
ieee
Conference_Titel
Image Analysis and Processing, 2001. Proceedings. 11th International Conference on
Conference_Location
Palermo
Print_ISBN
0-7695-1183-X
Type
conf
DOI
10.1109/ICIAP.2001.957045
Filename
957045
Link To Document