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Split field coding: low complexity, error-resilient entropy coding forimage compression

机译:拆分场编码:低复杂性,误差弹性熵编码折叠压缩

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In this paper, we describe split field coding, an approach for low complexity, error-resilient entropy coding which splitscode words into two fields: a variable length prefix and a fixed length suffix. Once a prefix has been decoded correctly,then the associated fixed length suffix is error-resilient, with bit errors causing no loss of code word synchronization andonly a limited amount of distortion on the decoded value. When the fixed length suffixes are segregated to a separateblock, this approach becomes suitable for use with a variety of methods which provide varying protection to differentportions of the bitstream, such as unequal error protection or progressive ordering schemes. Split field coding isdemonstrated in the context of a wavelet-based image codec, with examples of various error resilience properties, andcomparisons to the rate-distortion and computational performance of JPEG 2000.
机译:在本文中,我们描述了拆分场编码,一种方法,一种低复杂性,误差弹性熵编码,将单位分为两个字段:可变长度前缀和固定长度后缀。一旦正确解码了正确的解码,那么相关的固定长度后缀就是错误弹性,具有比特错误导致码字同步的丢失,并且对解码值的有限量失真。当固定长度后缀被隔离到单独的块时,这种方法适用于各种方法,该方法为比特流的不同的不同保护提供不同的保护,例如不等误差保护或渐进式排序方案。在基于小波的图像编解码器的上下文中分离字段编码ISDemonStration,其中各种错误恢复性属性的示例,以及JPEG 2000的速率失真和计算性能。

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