A visual sensitivity based low-bit-rate image compression algorithm
Qing Xia, Xiaoguang Li, Zhuo Li · Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE · 2013
In this paper, we present a visual sensitivity based low-bit-rate image compression algorithm. Using the idea that different image regions have different perceptual significance relative to quality, the input image is divided into edges, textures and smooth regions. For the edges, the standard JPEG algorithm with an appropriate quantitative step is applied so that the details can be preserved. For the textures, the JPEG algorithm is applied on the down-scale version. For the smooth regions, a skipping scheme is employed in the compression process so as to save bits. Experimental results show the superior performance of our method in terms of both compression efficiency and visual quality.