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dc.contributor.authorLin, Ting-Haoen_US
dc.contributor.authorWay, Der-Loren_US
dc.contributor.authorShih, Zen-Chungen_US
dc.contributor.authorTai, Wen-Kaien_US
dc.contributor.authorChang, Chin-Chenen_US
dc.contributor.editorEitan Grinspun and Bernd Bickel and Yoshinori Dobashien_US
dc.date.accessioned2016-10-11T05:18:42Z
dc.date.available2016-10-11T05:18:42Z
dc.date.issued2016
dc.identifier.issn1467-8659
dc.identifier.urihttp://dx.doi.org/10.1111/cgf.13003
dc.identifier.urihttps://diglib.eg.org:443/handle/10.1111/cgf13003
dc.description.abstractPhotos contain well-structured and plentiful visual information. Edges are active and expressive stimuli for human visual perception. However, it is hard to separate structure from details because edge strength and object scale are entirely different concepts. This paper proposes a structure-aware bilateral texture algorithm to remove texture patterns and preserve structures. Our proposed method is simple and fast, as well as effective in removing textures. Instead of patch shift, smaller patches represent pixels located at structure edges, and original patches represent the texture regions. Specifically, this paper also improves joint bilateral filter to preserve small structures. Moreover, a windowed inherent variation is adapted to distinguish textures and structures for detecting structure edges. Finally, the proposed method produces excellent experimental results. These results are compared to some results of previous studies. Besides, structure-preserving filtering is a critical operation in many image processing applications. Our proposed filter is also demonstrated in many attractive applications, such as seam carving, detail enhancement, artistic rendering, etc.en_US
dc.publisherThe Eurographics Association and John Wiley & Sons Ltd.en_US
dc.titleAn Efficient Structure-Aware Bilateral Texture Filtering for Image Smoothingen_US
dc.description.seriesinformationComputer Graphics Forum
dc.description.sectionheadersTextures/Mapping
dc.description.volume35
dc.description.number7
dc.identifier.doi10.1111/cgf.13003
dc.identifier.pages57-66


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