An Efficient Matrix-Based 2-D DCT Splitter and Merger for SIMD Instructions(Image Processing and Multimedia Systems, <Special Section>Recent Advances in Circuits and Systems-Part 1)

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概要

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• Recent microprocessors have included SIMD (single instruction multiple data) extensions into their instruction set architecture to improve the performance of multimedia applications. SIMD instructions speed up the execution of programs but pose lots of challenges to software developers. An efficient matrix-based splitter (or merger). which can split an N×N 2-D DCT block into four N/2×N/2 or two N×N/2 (or N/2×N) 2-D DCT blocks (or merger small size blocks into a large size one). specialized for SIMD architectures is presented in this paper. The programming-level complexity of the proposed methods is lower than that of the direct approach. Furthermore, even without using SIMD instructions, the algorithmic-level complexity of the proposed DCT splitter/merger is still lower than that of the direct one and is the same as that of the most efficient approach existed in the literature. When N=8, our method can be applied to act as a transcoder between the latest video coding standards AVC/H.264 and the older ones, such as MPEG-1, MPEG-2 and MPEG-4 part 2. We also provide the image quality tests to show the performance of the proposed 2-D DCT splitter and merger.

• 社団法人電子情報通信学会の論文
• 2005-07-01

著者

• Wu Ja

  Graduate Institute Of Networking And Multimedia National Taiwan University

• Wu Ja‐ling

  Graduate Institute Of Networking And Multimedia National Taiwan University

• CHUANG Yuh

  Department of Computer Science and Information Engineering, National Taiwan University

• Chuang Yuh

  Department Of Computer Science And Information Engineering National Taiwan University

関連論文

• A Visual Attention Based Region-of-Interest Determination Framework for Video Sequences(Image Processing and Multimedia Systems, Recent Advances in Circuits and Systems-Part 1)
• An Efficient Matrix-Based 2-D DCT Splitter and Merger for SIMD Instructions(Image Processing and Multimedia Systems, Recent Advances in Circuits and Systems-Part 1)

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