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ICASSP
2011
IEEE
12 years 11 months ago
Image prediction based on non-negative matrix factorization
This paper presents a novel spatial texture prediction method based on non-negative matrix factorization. As an extension of template matching, approximation based iterative textu...
Mehmet Türkan, Christine Guillemot
JMIV
2007
114views more  JMIV 2007»
13 years 7 months ago
Noisy Image Decomposition: A New Structure, Texture and Noise Model Based on Local Adaptivity
These last few years, image decomposition algorithms have been proposed to split an image into two parts: the structures and the textures. These algorithms are not adapted to the ...
Jérôme Gilles
TMM
2002
163views more  TMM 2002»
13 years 7 months ago
Image segmentation and similarity of color-texture objects
Abstract-- We aim for content-based image retrieval of textured objects in natural scenes under varying illumination and viewing conditions. To achieve this, image retrieval is bas...
Theo Gevers
CVPR
1998
IEEE
14 years 9 months ago
Texture Recognition Using a Non-Parametric Multi-Scale Statistical Model
We describe a technique for using the joint occurrence of local features at multiple resolutions to measure the similarity between texture images. Though superficially similar to ...
Jeremy S. De Bonet, Paul A. Viola
ICPR
2004
IEEE
14 years 8 months ago
Texture Analysis using Level-crossing Statistics
We present a novel statistical texture descriptor employing level-crossing statistics. Images are first mapped into 1D signals using space-filling curves, such as Peano or Hilbert...
Carlos Santamaria, Miroslaw Bober, Wieslaw Szajnow...