Faculté des sciences

Adaptive color image compression based on visual attention

Ouerhani, Nabil ; Bracamonte, Javier ; Hügli, Heinz ; Ansorge, Michael ; Pellandini, Fausto

In: Proceedings of the 11th International Conference on Image Analysis and Processing (ICIAP), 2001, vol. 11, p. 416-421

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... Plus

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    Summary
    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.