Scale-adaptive Structure-preserving Texture Filtering

dc.contributor.authorSong, Chengfangen_US
dc.contributor.authorXiao, Chunxiaen_US
dc.contributor.authorLei, Lingen_US
dc.contributor.authorSui, Haigangen_US
dc.contributor.editorLee, Jehee and Theobalt, Christian and Wetzstein, Gordonen_US
dc.date.accessioned2019-10-14T05:06:50Z
dc.date.available2019-10-14T05:06:50Z
dc.date.issued2019
dc.description.abstractThis paper proposes a scale-adaptive filtering method to improve the performance of structure-preserving texture filtering for image smoothing. With classical texture filters, it usually is challenging to smooth texture at multiple scales while preserving salient structures in an image. We address this issue in the concept of adaptive bilateral filtering, where the scales of Gaussian range kernels are allowed to vary from pixel to pixel. Based on direction-wise statistics, our method distinguishes texture from structure effectively, identifies appropriate scope around a pixel to be smoothed and thus infers an optimal smoothing scale for it. Filtering an image with varying-scale kernels, the image is smoothed according to the distribution of texture adaptively. With commendable experimental results, we show that, needing less iterations, our proposed scheme boosts texture filtering performance in terms of preserving the geometric structures of multiple scales even after aggressive smoothing of the original image.en_US
dc.description.number7
dc.description.sectionheadersImage Processing
dc.description.seriesinformationComputer Graphics Forum
dc.description.volume38
dc.identifier.doi10.1111/cgf.13824
dc.identifier.issn1467-8659
dc.identifier.pages149-158
dc.identifier.urihttps://doi.org/10.1111/cgf.13824
dc.identifier.urihttps://diglib.eg.org:443/handle/10.1111/cgf13824
dc.publisherThe Eurographics Association and John Wiley & Sons Ltd.en_US
dc.subjectComputing methodologies → Computational photography
dc.titleScale-adaptive Structure-preserving Texture Filteringen_US
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