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Permuted smoothed descriptions and refinement coding for images

机译:图像的置换平滑描述和优化编码

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摘要

We consider the problem of transmitting compressed still images over lossy channels. In particular, we examine the situation where the data stream is partitioned into two independent channels, as is often considered in the multiple descriptions approach to image compression. We introduce a coder design called smoothed descriptions, which matches a data partitioning method utilized at the encoder to the error concealment technique employed at the decoder. This approach has the advantage of inserting minimal overhead into the transmitted data streams, so that system performance is undiminished when there are no packet losses over the channel. We show that, by using a combination of DC averaging and maximal smoothing to conceal errors, performance comparable to or better than multiple descriptions can be achieved for packet loss rates up to 5%. By adding a feedback loop that requests retransmission of important data, we also demonstrate the need to exploit latency whenever possible.
机译:我们考虑在有损通道上传输压缩的静止图像的问题。特别是,我们检查了将数据流划分为两个独立通道的情况,这在图像压缩的多描述方法中经常考虑。我们介绍了一种称为平滑描述的编码器设计,该设计将编码器上使用的数据分区方法与解码器上使用的错误隐藏技术相匹配。这种方法的优点是将最小的开销插入到传输的数据流中,从而当通道上没有数据包丢失时,系统性能不会降低。我们表明,通过结合使用直流平均和最大平滑来掩盖错误,对于高达5%的丢包率,可以​​实现与多个描述相当或更好的性能。通过添加一个请求重发重要数据的反馈循环,我们还证明了尽可能利用延迟的必要性。

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