Lossless JBIG2 coding performance

D. Tompkins, F. Kossentini
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引用次数: 3

Abstract

Summary form only given. The Joint Bi-Level Expert Group (JBIG), an international study group affiliated with the ISO/IEC and ITU-T, has recently completed a committee draft of the JBIG2 standard for lossy and lossless bi-level image compression. We study design considerations for a purely lossless encoder. First, we outline the JBIG2 bitstream, focusing on the options and parameters available to an encoder. Then, we present numerous lossless encoder design strategies, including lossy to lossless coding approaches. For each strategy, we determine the compression performance, and the execution times for both encoding and decoding. The strategy that achieved the highest compression performance in our experiment used a double dictionary approach, with a residue cleanup. In this strategy, small and unique symbols were coded as a generic region residue. Only repeated symbols or those used as a basis for soft matches were added to a dictionary, with the remaining symbols embedded as refinements in the symbol region segment. The second dictionary was encoded as a refinement-aggregate dictionary, where dictionary symbols were encoded as refinements of symbols from the first dictionary, or previous entries in the second dictionary. With all other bitstream parameters optimized, this strategy can easily achieve an additional 30% compression over simpler symbol dictionary approaches. Next, we continue the experiment with an evaluation of each of the bitstream options and configuration parameters, and their impact on complexity and compression. We also demonstrate the consequences of choosing incorrect parameters. We conclude with a summary of our compression results, and general recommendations for encoder designers.
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无损JBIG2编码性能
只提供摘要形式。联合双级专家组(JBIG)是一个隶属于ISO/IEC和ITU-T的国际研究小组,最近完成了有损和无损双级图像压缩JBIG2标准的委员会草案。我们研究了纯无损编码器的设计考虑。首先,我们概述了JBIG2比特流,重点介绍了编码器可用的选项和参数。然后,我们提出了许多无损编码器的设计策略,包括有损到无损的编码方法。对于每种策略,我们确定了压缩性能,以及编码和解码的执行时间。在我们的实验中,实现最高压缩性能的策略使用了双字典方法,并进行了残留清理。在该策略中,小而独特的符号被编码为通用区域残基。只将重复的符号或作为软匹配基础的符号添加到字典中,其余的符号作为改进嵌入符号区域段。第二个字典被编码为一个精化聚合字典,其中字典符号被编码为第一个字典中符号的精化,或者第二个字典中以前的条目。通过优化所有其他比特流参数,该策略可以轻松实现比更简单的符号字典方法额外30%的压缩。接下来,我们继续实验,评估每个比特流选项和配置参数,以及它们对复杂性和压缩的影响。我们还演示了选择不正确参数的后果。最后,我们总结了我们的压缩结果,并为编码器设计者提供了一般建议。
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