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» Sparse Multiscale Patches for Image Processing
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CORR
2011
Springer
161views Education» more  CORR 2011»
12 years 11 months ago
A Panorama on Multiscale Geometric Representations, Intertwining Spatial, Directional and Frequency Selectivity
The richness of natural images makes the quest for optimal representations in image processing and computer vision challenging. The latter observation has not prevented the design...
Laurent Jacques, Laurent Duval, Caroline Chaux, Ga...
CVPR
2011
IEEE
13 years 3 months ago
Sparse Image Representation with Epitomes
Sparse coding, which is the decomposition of a vector using only a few basis elements, is widely used in machine learning and image processing. The basis set, also called dictiona...
Louise Benoit, Julien Mairal, Francis Bach, Jean P...
TOG
2002
102views more  TOG 2002»
13 years 7 months ago
Hierarchical pattern mapping
We present a multi-scale algorithm for mapping a texture defined by an input image onto an arbitrary surface. It avoids the generation and storage of a new, specific texture. The ...
Cyril Soler, Marie-Paule Cani, Alexis Angelidis
ICIP
2006
IEEE
14 years 9 months ago
Tree-Based Orthogonal Matching Pursuit Algorithm for Signal Reconstruction
Recent studies in linear inverse problems have recognized the sparse representation of unknown signal in a certain basis as an useful and effective prior information to solve thos...
Chinh La, Minh N. Do
ICIP
2010
IEEE
13 years 5 months ago
Texture classification via patch-based sparse texton learning
Texture classification is a classical yet still active topic in computer vision and pattern recognition. Recently, several new texture classification approaches by modeling textur...
Jin Xie, Lei Zhang, Jane You, David Zhang