Error-resilient video coding technique based on wavelet transform

Abstract

In this paper, we propose a zerotree wavelet image/video coding technique with resilience to transmission errors which typically occur on noisy channels. A key tool that we employ is the bit partitioning algorithm and the bit reorganization algorithm which is called the EREC (Error Resilient Entropy Code). In order to take full advantage of the bit reorganization algorithm, the bit partitioning algorithm composes the data as separate code-blocks although the zerotree wavelet coding algorithm is not block-based compression technique. The bit reorganization algorithm requires a very low redundancy for the sequential transmission of variable length blocks that offer virtually guaranteed code and block synchronization. We present simulation results verifying the error resiliency of the proposed algorithm both for image coding which uses the wavelet transform and for video coding which uses the 3D wavelet transform. Experimental results show that the proposed coders outperform the existing error resilient coders for both noise-free channels and noisy channels. In addition, we confirm that the proposed algorithm is more error-resilient than the previously reported error-resilient coders for various channel error conditions.