Adaptive bilateral filtering using saliency map for deblocking low bit rate videos

Abstract

This paper proposes a novel approach to video deblocking which performs perceptually adaptive bilateral filtering by considering color, intensity, and motion features in a holistic manner. The method is based on bilateral filter which is an effective smoothing filter that preserves edges. The bilateral filter parameters are adaptive and avoid over-blurring of texture regions and at the same time eliminate blocking artefacts in the smooth region and areas of slow motion content. This is achieved by using a saliency map to control the strength of the filter for each individual point in the image based on its perceptual importance. The experimental results demonstrate that the proposed algorithm is effective in deblocking highly compressed video sequences and to avoid over-blurring of edges and textures in salient regions of image.

Impact of automatic region-of-interest coding on perceived quality in mobile video

“…Also, deblocking algorithms can be applied in non-ROI to alleviate coding distortions and improve the overall qual-ity of the video. For example, the non-ROI region can be indicated using the saliency map for deblocking using adaptive bilateral filtering [21].…”