Adaptive Color Image Compression based on Visual Attention

This paper reports an adaptive still color image compression method which produces automatically-selected ROIs with a higher reconstruction quality with respect to the rest of the input image. The ROIs are generated on-thefly 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 bitrate 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.