Local covariance filtering for color images

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

研究成果: Conference contribution

1 引用 (Scopus)

抜粋

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.

元の言語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
エディションPART 4
DOI
出版物ステータスPublished - 2013 4 11
イベント11th Asian Conference on Computer Vision, ACCV 2012 - Daejeon, Korea, Republic of
継続期間: 2012 11 52012 11 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(印刷物)0302-9743
ISSN(電子版)1611-3349

Other

Other11th Asian Conference on Computer Vision, ACCV 2012
Korea, Republic of
Daejeon
期間12/11/512/11/9

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)

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  • これを引用

    Shirai, K., Okuda, M., Jinno, T., Okamoto, M., & Ikehara, M. (2013). Local covariance filtering for color images. : Computer Vision, ACCV 2012 - 11th Asian Conference on Computer Vision, Revised Selected Papers (PART 4 版, pp. 406-417). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); 巻数 7727 LNCS, 番号 PART 4). https://doi.org/10.1007/978-3-642-37447-0_31