Edge-Preserving Multiscale Image Decomposition based on Local Extrema

Kartic Subr 1 Cyril Soler 1 Fredo Durand 2
1 ARTIS - Acquisition, representation and transformations for image synthesis
Inria Grenoble - Rhône-Alpes, LJK - Laboratoire Jean Kuntzmann, INPG - Institut National Polytechnique de Grenoble
Abstract : Current edge-preserving image decompositions assume image detail to be low contrast variation. Consequently they apply filters that extract features with increasing contrast as successive layers of detail. As a result, they are unable to distinguish between high-contrast, fine-scale features and edges of similar contrast that are to be preserved. 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 provide information about oscillations: We define detail as oscillations between local minima and maxima. Building on the key observation that the spatial scale of oscillations are characterized by the density of local extrema, we develop a simple algorithm for decomposing images into multiple scales of superposed oscillations. We compare our results with existing edge-preserving image decomposition algorithms and demonstrate exciting applications that are made possible by our new notion of detail.
Document type :
Journal articles
Complete list of metadatas

Cited literature [21 references]  Display  Hide  Download


https://hal.inria.fr/inria-00461396
Contributor : Cyril Soler <>
Submitted on : Thursday, March 4, 2010 - 3:31:40 PM
Last modification on : Wednesday, September 18, 2019 - 4:36:03 PM
Long-term archiving on : Thursday, June 30, 2011 - 11:28:06 AM

Files

EdgePreservingMultiscaleImageD...
Files produced by the author(s)

Identifiers

Collections

Citation

Kartic Subr, Cyril Soler, Fredo Durand. Edge-Preserving Multiscale Image Decomposition based on Local Extrema. ACM Transactions on Graphics, Association for Computing Machinery, 2009, 28 (5), pp.147:1--147:9. ⟨10.1145/1618452.1618493⟩. ⟨inria-00461396⟩

Share

Metrics

Record views

1342

Files downloads

1025