Optimal Subband Bit Allocation for Multi-view Image Coding with Disparity Compensated Wavelet Lifting Technique

This paper presents an optimal subband bit allocation based on a new rate distortion (R-D) model for multi-view image coding with disparity-compensated wavelet lifting. First, the distortion prediction of the reconstructed multi-view image with lifting scheme is presented. A new rate distortion model combining the exponential and power model is developed. Then, the analyzed prediction error and rate distortion model are used in the optimal bit allocation framework. The bit allocation framework allocates bit to all subbands with the goal to minimize distortion of the reconstructed multi-view images. Low-pass and high-pass subbands are compressed by SPIHT [4] with optimal bit solution. We verify proposed method with several test multi-view images. The results show that the bit allocation based on the proposed method provides close results to the exhaustive search in both allocated bits and PSNR. It also outperforms the uniform bit allocation over a wide range of target bit rate.