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    • 47. 发明授权
    • Method for detecting and classifying block edge from DCT-compressed image
    • DCT压缩图像检测和分割块边缘的方法
    • US07286713B2
    • 2007-10-23
    • US10645434
    • 2003-08-18
    • Hyun Sung ChangKyeongok KangJinwoong Kim
    • Hyun Sung ChangKyeongok KangJinwoong Kim
    • G06K9/36G06K9/46
    • H04N19/44G06T7/12G06T2207/20052H04N19/14
    • The present invention provides a method for detecting and classifying block edges from DCT-compressed images, and more particularly, a fast method for classifying the edge direction of each block in the DCT-compressed images. The method includes: extracting DCT coefficients by blocks constituting the compressed image; and applying an arithmetic operation defined for each direction component to the DCT coefficients, and comparing the results of the arithmetic operations to determine the edge direction component. The present invention is directly applied in the DCT domain based on the quantitative analysis on the contribution factor of each DCT coefficient to formation of the directional pattern of the block edge, thereby drastically reducing the computational complexity of arithmetic operations necessary to the detection and classification of block edges.
    • 本发明提供了一种用于从DCT压缩图像检测和分类块边缘的方法,更具体地说,一种用于对DCT压缩图像中的每个块的边缘方向进行分类的快速方法。 该方法包括:通过构成压缩图像的块来提取DCT系数; 以及将针对每个方向分量定义的算术运算应用于DCT系数,以及比较算术运算的结果以确定边缘方向分量。 本发明基于对每个DCT系数的贡献因子的定量分析直接应用于DCT域的方向图形的形成,从而大大降低了检测和分类所需的算术运算的计算复杂度 块边缘。