Edge-preserving Multiscale Image Decomposition based on Local Extrema
We propose a new model for detail that inherently captures oscillations, a key property that distinguishes textures from individual edges. Inspired by techniques in empirical data analysis and morphological image analysis, we use the local extrema of the input image to extract information about osci...
Main Authors: | Subr, Kartic, Soler, Cyril, Durand, Fredo |
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Other Authors: | Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science |
Format: | Article |
Language: | en_US |
Published: |
Association for Computing Machinery (ACM)
2012
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Online Access: | http://hdl.handle.net/1721.1/72593 https://orcid.org/0000-0001-9919-069X |
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