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Constant time texture filtering
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DOI：10.1007/s00371-016-1315-z.png)
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Abstract
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We present a novel texture-filtering method which can effectively separate the main image structures from textures even with high variations. Our nonlinear image decomposition is based on a variant of the weighted-median filter which incorporates structure and texture information into the guidance image. To guarantee effective texture filtering, the guidance image not only contains prominent structure edges of the input, but also reduces the contrast in texture regions. We develop a constant time algorithm for the generation of guidance image by formulating the calculation of local extrema as a histogram volume aggregation problem. The local nature of the algorithm enables an efficient parallel GPU implementation. In addition, we demonstrate the effectiveness of our texture-filtering method in the context of detail enhancement, JPEG artifact removal, inverse halftoning, image segmentation, edge detection, and image stylization.
Keywords:
Edge-preserving smoothing
Texture smoothing
Bilateral filter
Median filter
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