首页> 外国专利> METHOD FOR IMPLEMENTING APPROXIMATION OF DISCRETE COSINE TRANSFORMATION, QUANTIZATION, INVERSE QUANTIZATION AND APPROXIMATION OF INVERSE DISCRETE COSINE TRANSFORMATION

METHOD FOR IMPLEMENTING APPROXIMATION OF DISCRETE COSINE TRANSFORMATION, QUANTIZATION, INVERSE QUANTIZATION AND APPROXIMATION OF INVERSE DISCRETE COSINE TRANSFORMATION

机译:离散余弦变换的逼近实现方法,离散余弦变换的量化,逆量化和逼近

摘要

PPROBLEM TO BE SOLVED: To decrease operations necessary for a normal discrete cosine transformation (DCT) and an inverse discrete cosine transformation (IDCT) and assure high quality of decompressed digital data. PSOLUTION: This invention relates to an approximation of a DCT and quantization which are to be applied continuously to digital data for compression of the digital data. In order to improve the transform, a predetermined transform matrix is simplified to require less operations. In addition, elements of the simplified transform matrix constituting irrational numbers are approximated by rational numbers. These measures are compensated by extending predetermined quantization to compensate the approximation by the rational numbers of the elements of the simplified transform matrix. If the simplified transform matrix and the extended quantization are used as a basis for implementation, a fast transform with a good resulting quality can be achieved. An approximation of an IDCT employed in decompression of compressed digital data can be simplified correspondingly. PCOPYRIGHT: (C)2007,JPO&INPIT
机译:

要解决的问题:减少常规离散余弦变换(DCT)和反向离散余弦变换(IDCT)所需的操作,并确保高质量的解压缩数字数据。解决方案:本发明涉及DCT的近似和量化,其将连续地应用于数字数据以压缩数字数据。为了改善变换,简化了预定的变换矩阵以要求较少的运算。另外,构成无理数的简化变换矩阵的元素由有理数近似。通过扩展预定的量化来补偿这些量度,以通过简化的变换矩阵的元素的有理数来补偿近似值。如果将简化的变换矩阵和扩展的量化用作实现的基础,则可以实现具有良好结果质量的快速变换。相应地,可以简化在压缩的数字数据的解压缩中使用的IDCT的近似值。

版权:(C)2007,日本特许厅&INPIT

著录项

  • 公开/公告号JP2007129731A

    专利类型

  • 公开/公告日2007-05-24

    原文格式PDF

  • 申请/专利权人 NOKIA CORP;

    申请/专利号JP20060310971

  • 发明设计人 HALLAPURO ANTTI;SIMELIUS KIM;

    申请日2006-11-17

  • 分类号H03M7/30;H04N7/30;H04N1/41;G06F17/14;

  • 国家 JP

  • 入库时间 2022-08-21 21:13:10

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