Multiscale Edge Coding and Adaptive Lifting for Depth Maps Coding in 3-D Video
A depth image represents three-dimensional scene information and is commonly used for depth image based rendering (DIBR) to support 3-D video applications. Reconstruction errors around depth edges lead to image blurring in synthesized views. This paper proposes a new coding method to improve the depth edge preserving effect. It makes use of both edge regularity and grayscale regularity to model the depth map, where the edge regularity is modeled by multiscale beamlet representation and the grayscale regularity is modeled by edge adaptive wavelet transform.