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
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;
Conference_Titel :
Image Analysis and Processing, 2001. Proceedings. 11th International Conference on
Conference_Location :
Palermo
Print_ISBN :
0-7695-1183-X
DOI :
10.1109/ICIAP.2001.957045