Error-resilient zero-tree wavelet image coding technique over noisy channels

Abstract

A zero-tree wavelet image coding technique with resiliency to transmission errors that typically occur on noisy channels is proposed. Key tools employed consist of the bit partitioning algorithm, and the bit reorganization algorithm, which is called the error resilient entropy code (EREC). To take full advantage of the bit reorganization algorithm, the bit partitioning algorithm divides the data into separate code blocks, although the zero-tree wavelet coding algorithm is not a block-based compression method. The bit reorganization algorithm requires a very low redundancy for the sequential transmission of variable length blocks, offering a virtually guaranteed code and block synchronization. The wavelet transform and the wavelet packet transform are used. Simulation results verify the error resiliency of the proposed algorithm for image coding. The experimental data show that the proposed coders outperform the existing error resilient coders over both noise-free channels and noisy channels. In addition, it is confirmed that the proposed algorithm is more error resilient than previously reported error-resilient coders for various channel error conditions.