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Algorithm and VLSI Architecture Designs of a Lossless Embedded Compression Encoder for HD Video Coding Systems

机译:用于高清视频编码系统的无损嵌入式压缩编码器的算法和VLSI架构设计

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The demand for visual quality has been advanced by high display resolutions and frame rates. Nevertheless, these two issues have caused tremendous memory bandwidth in a video coding system. In this study, an efficient lossless embedded compression (EC) algorithm is proposed to save memory bandwidth, while keeping visual quality. The proposed lossless EC algorithm incorporates three core techniques: tree partition, half-pixel prediction and group-based binary coding. Tree partition classifies a 16 x 8 block into Trunk, Branch and Leaf. With tree partition, half-pixel prediction produces individual residues for Trunk, Branch and Leaf. Group-based binary coding converts theses residues to efficient codewords. The lossless compression ratio (CR) of the proposed EC is as high as 2.24 on average, saving memory bandwidth by 55.4%. This EC algorithm is implemented using CMOS 0.18 mu m technology. The maximum throughput can reach 6.4Gpixels/s, which can accommodate 3840 x 2160@60fps. The experiment results demonstrate that this study presents better hardware efficiency of 337Gpixels/J and 83.5Kpixels/s/gate.
机译:通过高显示分辨率和帧速率提前了对视觉质量的需求。然而,这两个问题在视频编码系统中引起了巨大的内存带宽。在本研究中,提出了一种有效的无损嵌入压缩(EC)算法来节省内存带宽,同时保持视觉质量。所提出的无损EC算法包含三种核心技术:树分区,半像素预测和基于组的二进制编码。树分区将16 x 8块分类为中继,分支和叶子。在树分区,半像素预测产生了躯干,分支和叶子的单独残留物。基于组的二进制编码将这些残留物转换为有效的码字。所提出的EC的无损压缩比(CR)平均高达2.24,节省内存带宽55.4%。使用CMOS 0.18 MU M技术实现该EC算法。最大吞吐量可以达到6.4gpixels / s,可以容纳3840 x 2160 @ 60fps。实验结果表明,本研究提高了337gpixels / J和83.5kpixels /栅极的更好的硬件效率。

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