Two error resilient coding schemes for wavelet-based image transmission based on data embedding and genetic algorithms
For an entropy-coded wavelet-based image, such as a JPEG-2000 image, a transmission error in a codeword will not only affects the underlying codeword but also may affect subsequent codewords, resulting in a great degradation of the received image. In this study, two error resilient coding schemes for wavelet-based image transmission based on data embedding and genetic algorithms (GAs) are proposed. In this study, as JPEG-2000, an image is decomposed into 6 wavelet levels (levels 0-5). For level 0, an error resilient coding scheme based on data embedding and side-match vector quantization is employed. For level 1, the proposed basic scheme uses the embedded important data for a corrupted code block to conceal the corrupted code block, whereas the proposed enhanced scheme uses a GA-based error concealment scheme to conceal the corrupted code block. For level 2, the embedded important data for a corrupted code block are used to conceal the corrupted code block. For levels 3-5, the wavelet coefficients of each corrupted code block are simply replaced by zeros. Based on the simulation results obtained in this study, the performances of the two proposed schemes are better than that of the three existing approaches for comparison. The proposed schemes can recover high-quality wavelet-based JPEG-2000 images from the corresponding corrupted images up to a bit error rate of 0.5%.