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JAGGED BLOCKING ARTIFACTS REDUCTION APPARATUS AND METHOD USING HIDDEN MARKOV MODEL AND PRINCIPAL COMPONENT ANALYSIS

机译:使用隐马尔可夫模型和主成分分析的大块状伪像减少设备和方法

摘要

The present invention relates to an apparatus and method for removing block jigging defects using a hidden Markov model and principal component analysis. The apparatus according to the present invention includes a block type jigging defect detecting unit for detecting a block type jagged-blocking artifact by applying a hidden marking model to an input image, and a block type jigging defect detecting unit for applying a principal component analysis to the detected block type jigging defect, And an adaptive filtering unit for applying adaptive filtering to the detected block type jagging defect according to the calculated directionality and size. According to the present invention, it is possible to effectively remove block-type defects that occur upon compression and resolution change for both codecs.
机译:本发明涉及使用隐马尔可夫模型和主成分分析来去除块状跳动缺陷的设备和方法。根据本发明的设备包括:通过将隐藏标记模型应用于输入图像来检测块型锯齿状伪像的块型跳动缺陷检测单元;以及将主成分分析应用于主分量分析的块型跳动缺陷检测单元。自适应滤波单元,用于根据计算出的方向性和大小对所检测到的块状跳动缺陷进行自适应滤波。根据本发明,可以有效地消除在两个编解码器的压缩和分辨率改变时出现的块类型缺陷。

著录项

  • 公开/公告号KR101574418B1

    专利类型

  • 公开/公告日2015-12-03

    原文格式PDF

  • 申请/专利权人 창원대학교 산학협력단;

    申请/专利号KR20140035540

  • 发明设计人 권오설;

    申请日2014-03-26

  • 分类号H04N19/117;

  • 国家 KR

  • 入库时间 2022-08-21 14:15:30

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