Edge-preserving decompositions for multi-scale tone and detail manipulation
ACM SIGGRAPH 2008 papers
A Fast Approximation of the Bilateral Filter Using a Signal Processing Approach
International Journal of Computer Vision
Edge-preserving multiscale image decomposition based on local extrema
ACM SIGGRAPH Asia 2009 papers
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Image details are mainly composed of edges and textures. From the view of pixel intensity or gradient magnitude, both edges and textures are the drastic variances among the pixels of local image regions. However, because of the similarity of textures, they usually feature some regular local oscillations [Subr et al. 2009]. It makes great sense to distinguishes edges and textures exactly for many image applications, e.g. detail manipulation. But the current major bilateral-based [Paris and Durand 2009] and optimization-based [Farbman et al. 2008] approaches usually emphasize more on edge-preserving, incompletely preserving some textures instead of smoothing. These results will produce serious interferences in both edge preservation and texture extraction. On the basis of the joint bilateral filtering framework, we take advantage of our degenerative image to suppress the local oscillations and produce better output with dual properties of edge-preserving and texture-smoothing, see Figure 1(e).