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Progressive image transmission using variable block coding with classified vector quantization

机译:使用带有分类矢量量化的可变块编码进行渐进式图像传输

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Abstract: The progressive image transmission allows an approximate image to be built up quickly and details to be transmitted progressively through several passes over the image. This paper describes progressive image transmission scheme using the variable block coding technique in conjunction with variety of quantization schemes in the transform domain. The proposed scheme uses a region growing to partition the images so that regions of the different sizes can be addressed using a small amount of side information. This segmentation divides the image into five different regions that vary in size based on the details within the image. High-detail blocks are classified into four different categories using the energy distribution followed by classified vector quantization (CVQ), and low-detail blocks are encoded with scalar quantization. Simulation results show that the reconstructed images preserve fine and pleasant qualities based on both subjective and mean square error criteria. Also, the receiver reconstructs more details in each stage so that the observer can recognize the image quickly.!20
机译:摘要:渐进式图像传输允许快速建立近似图像,并通过图像上的多次遍历逐步传输细节。本文描述了使用可变块编码技术的渐进式图像传输方案,并结合了变换域中的各种量化方案。所提出的方案使用增长的区域来分割图像,从而可以使用少量的辅助信息来处理不同大小的区域。这种分割将图像分为五个不同的区域,这些区域的大小根据图像内的细节而有所不同。使用能量分布将高详细信息块分为四个不同类别,然后再进行分类矢量量化(CVQ),低详细信息块使用标量量化进行编码。仿真结果表明,基于主观和均方误差准则,重建的图像保留了优良和令人愉悦的画质。此外,接收器在每个阶段都将重建更多细节,以便观察者可以快速识别图像。!20

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