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Dergiler / The Eurasia Proceedings of Science Technology Engineering and Mathematics / 2017 / Issue: 1

IMPLEMENTATION OF FORWARD 8x8 INTEGER DCT FOR H.264/AVC FRExt

Bunji Antoinette Ringnyu
Ali Tangel
Sayfa
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Yayın Tarihi
2017-11-09
DOI
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⚡ TL;DR(1 Cümlede Hızlı Çıkarım)

The simulations are done in Vivado Design Suite .

📌 3 Maddede Bu Makale

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Amaç & Hipotez:The H.264/AVC image encoding standard has been used in many systems, especially in HD(High Definition) devices because of the introduction of the FRExt standard, which  leads to additional characteristics in this standard like the Higher Resolution and Higher Bit rates.
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Temel Bulgular & Veri:In addition to the 4x4 Integer DCT, there is  an  8x8 Integer DCT  (Discrete Cosine Transform) matrix.
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Sonuç & Katkı:The simulations are done in Vivado Design Suite .
🔬Tür:Research Article
📍Kapsam:Genişletilmiş Akademik Örneklem
⚙️Değişkenler:H.264 FRExt · integer DCT · image compression

Abstract

The H.264/AVC image encoding standard has been used in many systems, especially in HD(High Definition) devices because of the introduction of the FRExt standard, which  leads to additional characteristics in this standard like the Higher Resolution and Higher Bit rates. With the introduction of the FRExt, a good number of amendments are added to the AVC standard, most importantly at the level of the transform block. In addition to the 4x4 Integer DCT, there is  an  8x8 Integer DCT  (Discrete Cosine Transform) matrix. This work focuses on the Forward 8x8 Integer Transform block implementation of the H.264 FRExt standard, exploring different methods of implementations, and examining how these methods affect the hardware and the maximum frequency. There is the 2D implementation (Matrix multiplication) using multipliers and adders and the 1D implementation(butterfly algorithm) using adders. These implementations are done using VHDL and MATLAB. The simulations are done in Vivado Design Suite .

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Bu Makaleye Atıf Yap

Ringnyu, B. A., Tangel, A. (2017). IMPLEMENTATION OF FORWARD 8x8 INTEGER DCT FOR H.264/AVC FRExt. The Eurasia Proceedings of Science Technology Engineering and Mathematics, Issue: 1. https://ajindex.com/articles/1551667

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Kaynakça (2)

  1. Gustavo A. Ruiz and Juan A. Michell 2011, Variable Bit-Depth Processor for 8×8 Transform and Quantization Coding in H.264/AVC, Recent Advances on Video Coding, Dr. Javier Del Ser Lorente (Ed.), InTech, DOI: 10.5772/16251. Available from: https://www.intechopen.com/books/recent-advances-on-video-coding/variable-bit-depth-processor-for-8-8-transform-and-quantization-coding-in-h-264-avc M. Corrêa Marcel, T. Schoenknecht Mateus, S. Dornelles Robson, and Agostini Luciano 2011, A High-Throughput Hardware Architecture for the H.264/AVC Half-Pixel Motion Estimation Targeting High-Definition Videos, International Journal of Reconfigurable Computing. Detlev Marpe, Thomas Wiegand and Gary J. Sullivan 2006, The H.264/MPEG4 Advanced Video Coding Standard and its Applications, IEEE SIGNAL PROCESSING MAGAZINE, pp. 134-143. H.S.Marver,A.Hallapuro,M.KarczewiczandL.kerofsky 2003, Low Complexity Transform and Quantisation in H.264/AVC, IEEE Transactions on circuits and systems for video technology,vol.13,No 7, pp. 560-576. Gulistan Raja and Muhammad Javed Mirz 2006, In-loop Deblocking Filter for H.264/AVC Video, Second Internation Symposium on Communication and Signal Processsing. Gary J. Sullivan, Pankaj Topiwala, Ajay Luthra 2004, The H.264/AVC Advanced Video Coding Standard:Overview and Introduction to the Fidelity Range Extensions, SPIE Conference on Applications of Digital Image Processing XXVII. Detlev Marpe,Thomas Wiegand, and Stephen Gordon 2005, H.264/MPEG4-AVC Fidelity Range Extensions:Tools, Profiles, Performance, and Application Areas, International Conference on Image Process, Italy. Hemika and Poornima Sharma 2015, A Review on an Efficient Implementation of H.264 Video Encoder DCT Transform and Quantization, Journal of Basic and Applied Engineering Research. Ihab Amer, Wael Badawy, and Graham Jullien 2005, A High-Performance Hardware Implementation Of The H.264 Simplified 8x8 Transformation And Quantization, The International Conference on Acoustics, Speech, and Signal Processing. Jia Su, Qin Liu, Satoshi Goto, Takeshi Ikenaga 2005, 8x8 Transformation Based All Zero Block Detection for H.264/AVC Encoder, The 23rd International Technical Conference on Circuits/Systems Computers and Communications (ITC-CSCC2008). MarcelM. Corrˆea,Mateus T. Schoenknecht, Robson S. Dornelles, and Luciano V. Agostini 2011, A High-Throughput Hardware Architecture for the H.264/AVC Half-Pixel Motion Estimation, International Journal of Reconfigurable Computing. Michael Michael and Kenneth Hsu 2008, A Low-power Design of Quantization for H.264 Video Coding Standard, Proceedings of the IEEE International SOC Conference, Newport Beach, CA, Pp. 201-204.
  2. Mohammad Norouzi, Karim Mohammadi, Mohammad Mahdy Azadfar 2006. Multiplication and Error Free Implementation of H.264 like 4x4 DCT/Quan_IQuan/IDCT using Algebraic Integer Encoding, International Journal of Computer Science and Network Security, VOL.6 No.9B.