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研究生: 陳乃鈞
Chen, Nai Chun
論文名稱: 一個應用於HEVC中的進行反量化及反離散餘弦變換之高效率管線化超大型積體電路架構
An Efficient Pipelined VLSI Architecture for Inverse Quantization and Discrete Cosine Transform in H.265/HEVC
指導教授: 林永隆
Lin, Youn Long
口試委員: 王家祥
Wang, Jia Shung
郭皇志
Kuo, Huang Chih
學位類別: 碩士
Master
系所名稱: 電機資訊學院 - 資訊工程學系
Computer Science
論文出版年: 2015
畢業學年度: 103
語文別: 英文
論文頁數: 44
中文關鍵詞: HEVC硬體管線化
外文關鍵詞: HEVC, Hardware, Pipelined
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  • 在本論文中,我們提出一個應用於HEVC main profile的包含系數掃描、反量化以及反離散餘弦變換之硬體架構。本設計支援4x4,8x8以及16x16大小的轉換方塊。架構中包含了一個掃描單元、一個用於反量化的雙階層管線化單元、一個可重複利用的反離散餘弦變換單元,以及相對應的控制單元。本設計可支援3840x2160解析度的60FPS影片。


    We propose a hardware implementation including coefficient scanning, inverse quantization and inverse discrete cosine transform for HEVC main profile in this thesis. The design supports 4x4, 8x8 and 16x16 sized transform blocks. It includes a scanning unit, a two-stage pipelined architecture for inverse quantization, a reusable architecture for inverse discrete cosine transform and corresponding control units. The proposed design can support real time decoding of 3840 x 2160 video at 60 fps.

    Abstract i Contents ii List of Figures iii List of Tables iv Chapter 1 Introduction 1 Chapter 2 IQ And IDCT Algorithm 3 2.1 Coefficient Scanning/IQ/IDCT Overview 3 2.2 Partitioning 4 2.3 Coefficient Flags 5 2.4 Decoding Process 6 2.5 Coefficient Scanning 9 2.6 Inverse Quantization 11 2.7 Inverse Discrete Cosine Transform 13 Chapter 3 Related Work 15 Chapter 4 Proposed Architecture 17 4.1 Overview of the Proposed Architecture 17 4.2 Global Memory Organization 19 4.3 Coefficient Scanning Datapath 21 4.4 Inverse Quantization Datapath 23 4.5 Inverse Discrete Cosine Transform Datapath 25 4.6 Cycle Analysis 27 Chapter 5 Experiment Result 28 5.1 Implementation and Verification 28 5.2 Synthesis Result 30 5.3 Simulation Result 31 5.4 Comparison 32 Chapter 6 Conclusions 33 REFRENCES 34

    [1] ITU-T and ISO/IEC JTC 1, "Advanced Video Coding for Generic Audio-Visual Services," ITU T Rec.H264, Feb. 2014.
    [2] B. Bross, W.-J. Han, J.-R. Ohm, G. J. Sullivan, and Y.-K. Wang, T. Wiegand , " High Efficiency Video Coding (HEVC) text specification draft 10 (for FDIS & Consent)," in JCTVC-L1003, Switzerland, Jan. 2013.
    [3] S.-T. Hsu, "An Efficient VLSI Architecture for Inverse Quantization and Inverse Discrete Cosine Transform in H.264/AVC FRExt," July 2007.
    [4] P.Kumar, Sang-Yoon Park, B.Kumar, Khoon-seong Lim, and Chuohao Yeo, "Efficient Integer DCT Architectures for HEVC," IEEE Transactions on Circuits and Systems for Video Technology, volume24, issue 1, pp. 168-178, 2014.
    [5] Ruhan Conceição, José Cláudio de Souza Jr., Ricardo Jeske, Bruno Zatt, Marcelo Porto, and Luciano Agostini, "Low-Cost and High-Throughput Hardware Design for the HEVC 16x16 2-D DCT Transform," Journal of Integrated Circuits and Systems v.9 , pp. 25-35, 2014.
    [6] T. Dias, N. Roma, and L. Sousa, "High Performance Multi-Standard Architecture for DCT Computation in H. 264/AVC High Profile and HEVC Codecs," Conference on Design & Architectures for Signal and Image Processing, pp. 14-21, 2013.
    [7] E. Kalali, E. Ozcan, and O. M. Yalcinkaya, I Hamzaoglu, "A Low Energy HEVC Inverse DCT Hardware," in IEEE Int. Conference on Consumer Electronics, Berlin, Sep. 2013.
    [8] Introduction to the Quartus II software, San Jose: Altera Corporation, 2010.
    [9] ModelSim-Altera Software Simulation User Guide, San joes: Altera Corporation, 2013.
    [10] F. Bossen, HM Software Manual, (JCT-VC), 2013.
    [11] W.-H. Chen, C. H. Smith, and S. C. Fralick "A fast computational algorithm for the discrete cosine transform," IEEE Transactions on Communications, vol.25, No.9, pp.1004-1009 Sep. 1977.
    [12] Mathias Wien, High Efficiency Video Coding: Coding Tools and Specification
    . Springer Berlin Heidelberg, 2014, ch.1, pp. 6.

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