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A fast method and apparatus for filtering compressed images in the DCT domain

机译:在DCT域中过滤压缩图像的快速方法和装置

摘要

A method is described for filtering compressed images represented in the discrete-cosine-transform (DCT) domain. The filter (50) includes three sparse, vertical submatrices (V-, V++, V-+), which are sparse versions of the vertical filter components (VFCs) of a desired filter function that have been combined in such a way as to eliminate many of the non-zero elements. The filter (50) also includes three sparse, horizontal transpose submatrices (Ht-, Ht++, Ht-+), which, like the vertical submatrices, are sparse versions of the horizontal filter components of the filter function. The sparseness of these sparse submatrices yields a significant reduction in the number of computations required to filter the image in the DCT domain. To take advantage of this discovery, the input DCT data blocks are "butterflied" to retain the relationship between the input data blocks and the filtered output data blocks as a function of these sparse submatrices. The sparseness of the vertical and horizontal submatrices reduces the number of computations required to filter the image. The sparseness of the DCT data blocks can also be used to further reduce the number of computations required.
机译:描述了一种用于过滤离散余弦变换(DCT)域中表示的压缩图像的方法。滤波器(50)包括三个稀疏的垂直子矩阵(V-,V ++,V- +),它们是所需滤波器功能的垂直滤波器组件(VFC)的稀疏版本,以消除许多非零元素。滤波器(50)还包括三个稀疏的水平转置子矩阵(Ht-,Ht ++,Ht- +),与垂直子矩阵一样,它们是滤波器函数的水平滤波器分量的稀疏版本。这些稀疏子矩阵的稀疏性大大减少了在DCT域中过滤图像所需的计算量。为了利用这一发现,根据这些稀疏子矩阵,对输入DCT数据块进行“蝶形处理”,以保留输入数据块和滤波后的输出数据块之间的关系。垂直和水平子矩阵的稀疏性减少了过滤图像所需的计算量。 DCT数据块的稀疏性还可用于进一步减少所需的计算数量。

著录项

  • 公开/公告号EP0794511A2

    专利类型

  • 公开/公告日1997-09-10

    原文格式PDF

  • 申请/专利权人 HEWLETT-PACKARD COMPANY;

    申请/专利号EP19960120683

  • 发明设计人 MERHAV NERI;BHASKARAN VASUDEV;

    申请日1996-12-20

  • 分类号G06T5/20;

  • 国家 EP

  • 入库时间 2022-08-22 03:19:20

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