Scalable video compression framework with adaptive multiresolution directional filter bank design

Abstract

Regarding orientation resolution as an isolated variable from scale, this paper proposes a dual (scale and orientation) multiresolution transform into scalable video coding (SVC) framework. By projecting 2D signals (textures and edges) onto nonuniformly divided orientation subspaces, the dual multiresolution SVC (DMSVC) can capture 2-D curve smoothness with less coefficients, and provide more flexible spatial decomposition structures than traditional wavelet-based SVC (WSVC). In the spatial decomposition module of DMSVC, the nonuniform directional distribution along scale of each frame is detected by phase congruency in the overcomplete wavelet domain. The corresponding orientational multi-resolution is achieved by nonuniform directional filter banks (NUDFB) which is fulfilled via a non-symmetric binary tree (NSBT) structured frequency division. The wavelet basis function in each scale is converted to an adaptive set of nonuniform directional basis by employing nonuniform directional filter banks. Experimental results validate a superior coding performance and visual quality over WSVC especially on those sequences full of directional edges and textures.