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On the optimality of embedded deadzone scalar-quantizers for wavelet-based L-infinite-constrained image coding

机译:关于基于小波的L-无限约束图像编码的嵌入式Deadzone标量化器的最优性

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In wavelet-based L∞-constrained embedded coding, the bit-stream is truncated at the bit-rate that corresponds to a guaranteed, user-defined distortion bound. The letter analyzes the optimality of embedded deadzone scalar-quantizers for high-rate L∞-constrained scalable wavelet-based image coding. A rate-distortion model applicable to the family of embedded deadzone scalar-quantizers is derived and experimentally validated. Conclusions are drawn regarding the optimal subband-quantizer instantiations. The optimal quantizers are employed in a coding algorithm that retains the coding performance and the flexibility options of wavelet-based codecs while allowing for a fully embedded L∞-oriented bit-stream.
机译:在基于小波的L∞限制嵌入编码中,位流以与保证的用户定义失真绑定的比特率截断。该信分析了嵌入式Deadzone标量化器的最优性,用于高速率L∞受限的基于小波的图像编码。衍生和实验验证适用于嵌入式Deadzone标量体的速率变形模型。得出关于最佳子带量化器实例化的结论。最佳量化器用于编码算法中,该编码算法保留了基于小波的编解码器的编码性能和灵活性选项,同时允许完全嵌入的L∞型比特流。

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