Local covariance filtering for color images

Keiichiro Shirai, Masahiro Okuda, Takao Jinno, Masayuki Okamoto, Masaaki Ikehara

研究成果: Conference contribution

3 被引用数 (Scopus)

抄録

In this paper, we introduce a novel edge-aware filter that manipulates the local covariances of a color image. A covariance matrix obtained at each pixel is decomposed by the singular value decomposition (SVD), then diagonal eigenvalues are filtered by characteristic control functions. Our filter form generalizes a wide class of edge-aware filters. Once the SVDs are calculated, users can control the filter characteristic graphically by modifying the curve of the characteristic control functions, just like tone curve manipulation while seeing a result in real-time. We also introduce an efficient iterative calculation of the pixel-wise SVD which is able to significantly reduce its execution time.

本文言語English
ホスト出版物のタイトルComputer Vision, ACCV 2012 - 11th Asian Conference on Computer Vision, Revised Selected Papers
ページ406-417
ページ数12
PART 4
DOI
出版ステータスPublished - 2013
イベント11th Asian Conference on Computer Vision, ACCV 2012 - Daejeon, Korea, Republic of
継続期間: 2012 11月 52012 11月 9

出版物シリーズ

名前Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
番号PART 4
7727 LNCS
ISSN(印刷版)0302-9743
ISSN(電子版)1611-3349

Other

Other11th Asian Conference on Computer Vision, ACCV 2012
国/地域Korea, Republic of
CityDaejeon
Period12/11/512/11/9

ASJC Scopus subject areas

  • 理論的コンピュータサイエンス
  • コンピュータサイエンス一般

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