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一种改善H.263图像质量的方法

A Method for Improving Image Quality Based on H.263
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摘要 提出了一种保护图像中最重要的边缘信息的量化策略。仿真结果表明,与普通量化方法(如TMN系列代码)相比,新方法以较小的运算量为代价使边缘信息得到有效保护,从而在降低码率的同时更好地保持了图像的质量。 This paper is about an ASIC (Application Specific Integrated Ciruit ) solution for H.264 decoder and its FPGA (Field Programmable Gate Array) verifi cation platform. This solution has faster decoding speed and less power consumpt ion, which greatly solves the problems of low speed and high power consumption d ue to the increased complexity of the algorithm of H.264 decoder. This paper als o introduces the FPGA verification platform in detail since verification is of c ritical importance for the success of a large scale SoC chip.
出处 《电视技术》 北大核心 2004年第10期47-49,共3页 Video Engineering
关键词 H.263标准 量化 边缘 图像质量 H.263 quantization edge image quality
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参考文献5

  • 1ITU 2T Recommendation H.263-1996. Video coding for low bit rate communication.
  • 2Tsaig Y, Averbuch A. Automatic segmentation of moving objects in video sequences: a region labeling approach.IEEE Transactions on Circuits and Systems for Video Technology, 2002,12 (7): 597-612.
  • 3Kim Changick, Hwang Jeng-neng. Fast and automatic video object segmentation and tracking for content-based applications. IEEE Transactions on Circuits and Systems for Video Technology, 2002, 12(2): 122-129.
  • 4Ran Xiaonong, Farvardin Nariman. A Perceptually Motivated Three-Component Image Model-Part I:Description of the Model. IEEE TRANSACTIONS ON IMAGE PROCESSING, 1995,4(4):401-413.
  • 5Kovesi Peter. Edges Are Not Just Steps. ACCV2002:The 5th Asian Conference on Computer Vision, 23-25 January 2002.

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