Perceptual Depth Preserving Saliency based Image Compression

TLDR: The paper tackles the task of preserving depth cue in single images for human perception of depth despite compression artifact by generating saliency map by region combining on the basis of salient regions.

Abstract: The paper tackles the task of preserving depth cue in single images for human perception of depth despite compression artifact. The process is mainly divided into 2 steps; saliency map computation and image compression on the basis of salient regions. The idea is that the regions which are less blurred should be more salient rather than blurred regions. For saliency computation the proposed method first obtains the blur information for the image using frequency information. Then we generate saliency map by region combining on the basis of this blur index. These saliency values are used to vary the quality parameter over the blocks in the image for JPEG compression. Experimental results show that the proposed scheme yields good results over normal JPEG compresssion in terms of PSNR values.