基于FPGA的并行RICE解码技术研究与实现

RICE算法在无损压缩系统有着广泛的应用。由于RICE算法采用了变长的自适应熵编码,因此在解码时需要对压缩流进行逐位判断和解析,这给高速解压缩的实现带来了困难。现有的RICE解码实现在解码速度和通用性上都不理想。针对RICE算法中自适应熵编码的特点,设计了一种基于有限状态机和查找表的并行RICE解码结构,可在FPGA上完成8比特宽度的并行解码,解码速度最高可达176MB/s;同时,该解码结构适用于编码参数k变化的情况,具有很强的通用性。...

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Bibliographic Details
Published in计算机工程与科学 Vol. 39; no. 6; pp. 1118 - 1125
Main Author 陶文泽 韦宏卫 张洪群
Format Journal Article
LanguageChinese
Published 中国科学院大学,北京100049%中国科学院遥感与数字地球研究所,北京,100094 2017
中国科学院遥感与数字地球研究所,北京100094
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ISSN1007-130X
DOI10.3969/j.issn.1007-130X.2017.06.015

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Summary:RICE算法在无损压缩系统有着广泛的应用。由于RICE算法采用了变长的自适应熵编码,因此在解码时需要对压缩流进行逐位判断和解析,这给高速解压缩的实现带来了困难。现有的RICE解码实现在解码速度和通用性上都不理想。针对RICE算法中自适应熵编码的特点,设计了一种基于有限状态机和查找表的并行RICE解码结构,可在FPGA上完成8比特宽度的并行解码,解码速度最高可达176MB/s;同时,该解码结构适用于编码参数k变化的情况,具有很强的通用性。
Bibliography:TAO Wen-ze1'2 , WEI Hong-wei1 , ZHANG Hong-qun1 (1. Institute of Remote Sensing and Digital Earth,Chinese Academy of Sciences, Beijing 100094; 2. University of Chinese Academy of Sciences, Beijing 100049, China)
43-1258/TP
lossless decompression ; RICE algorithm ; adaptive entropy coding ; FPGA
The RICE algorithm is widely used in the lossless compression system. Since it adopts the variable-length adaptive entropy coding, it's necessary to make hit-wise judgment and analysis in the compressed stream when decoding. However, this makes it difficult to achieve high speed decompres- sion. Existing RICE decoding implementation methods have unsatisfactory performance in decoding speed and versatility. Given the characteristics of the adaptive entropy coding in the RICE algorithm, we propose a parallel RICE decoding structure based on finite state machine (FSM) and look up table (LUT), which can perform 8-bit width parallel decoding on the FPGA at the highest speed of 176 MB/ s. And meanwhile, the decoding structure i
ISSN:1007-130X
DOI:10.3969/j.issn.1007-130X.2017.06.015