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首页> 外文期刊>Journal of visual communication & image representation >Two error resilient coding schemes for wavelet-based image transmission based on data embedding and genetic algorithms
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Two error resilient coding schemes for wavelet-based image transmission based on data embedding and genetic algorithms

机译：基于数据嵌入和遗传算法的两种基于小波的图像传输抗错编码方案

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摘要

For an entropy-coded wavelet-based image, such as a JPEG-2000 image, a transmission error in a codeword will not only affect the underlying codeword but may also 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 (GA's) are proposed. In this study, using JPEG-2000, an image is decomposed into six wavelet levels (levels 0-5). At the encoder, for levels 0-2, some important data useful for error concealment performed at the decoder are extracted and embedded into the compressed JPEG-2000 image bitstream. At the decoder, the important (embedded) data for each corrupted code block are extracted and used to facilitate error concealment. 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 those of three comparison approaches, namely, the Zero-S, Mean-S, and Inter approaches. 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%.
机译：对于基于熵编码的基于小波的图像，例如JPEG-2000图像，码字中的传输错误不仅会影响基础码字，而且还会影响后续的码字，从而导致接收到的图像质量大大下降。在这项研究中，提出了两种基于数据嵌入和遗传算法的基于小波的图像传输抗错编码方案。在这项研究中，使用JPEG-2000将图像分解为六个小波级别（级别0-5）。在编码器上，对于0-2级，提取了一些对在解码器处进行错误隐藏有用的重要数据，并将其嵌入到压缩的JPEG-2000图像比特流中。在解码器处，提取每个损坏的代码块的重要（嵌入式）数据，并用于促进错误隐藏。对于3-5级，每个损坏的代码块的小波系数都简单地用零代替。根据本研究获得的仿真结果，所提出的两种方案的性能均优于零-S，Mean-S和Inter方法这三种比较方法。所提出的方案可以从相应的损坏图像中恢复高质量的基于小波的JPEG-2000图像，误码率高达0.5％。

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