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Review of video compression which depends on visual perception limits

机译:视视听限制而定的视频压缩审查

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Abstract: Video compression is achieved by leaving out unnecessary information in an image. This is done by leaving out information that can be predicted (entropy encoding) or by leaving out information the visual system cannot use. Entropy encoding procedure on exact replica of the original image until the image unpredictability exceeds the channel capacity - at which point it fails. Entropy encoding has been discussed widely in the literature. Encoding based on the limits in perception produces an image in which there are measurable differences between the original and reconstructed image. However, these differences are kept below the thresholds of perception. A wealth of information exists in the vision research community on perception thresholds for various visual stimuli. This paper will review these perception limits and show how they have been used or may be used in visually lossless compression.!9
机译:摘要:通过在图像中保留不必要的信息来实现视频压缩。这是通过遗漏可以预测的信息(熵编码)或遗漏视觉系统无法使用的信息来完成的。对原始图像的精确副本进行熵编码,直到图像的不可预测性超出通道容量为止(此时,它会失败)。熵编码已在文献中被广泛讨论。基于感知极限的编码会生成一个图像,在该图像中,原始图像和重建图像之间存在可测量的差异。但是,这些差异保持在感知阈值以下。视觉研究界存在大量有关各种视觉刺激的感知阈值的信息。本文将回顾这些知觉极限,并说明它们是如何被使用或可用于视觉无损压缩的!9

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