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» Image Denoising Using Sparse Representations
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ICASSP
2011
IEEE
12 years 11 months ago
Dual constrained TV-based regularization
Algorithms based on the minimization of the Total Variation are prevalent in computer vision. They are used in a variety of applications such as image denoising, compressive sensi...
Camille Couprie, Hugues Talbot, Jean-Christophe Pe...
ICIP
2009
IEEE
13 years 5 months ago
A compressive-sensing based watermarking scheme for sparse image tampering identification
In this paper we describe a robust watermarking scheme for image tampering identification and localization. A compact representation of the image is first produced by assembling a...
Giuseppe Valenzise, Marco Tagliasacchi, Stefano Tu...
ICASSP
2011
IEEE
12 years 11 months ago
Video error concealment using sparse recovery and local dictionaries
Video error concealment is a post-processing technique that conceals the errors in a decoded video sequence based on data available only at the decoder. Most of the current techni...
Dzung Nguyen, Minh Dao, Trac Tran
MMM
2009
Springer
218views Multimedia» more  MMM 2009»
14 years 4 months ago
Sparse Multiscale Patches (SMP) for Image Categorization
Abstract. In this paper we address the task of image categorization using a new similarity measure on the space of Sparse Multiscale Patches (SMP). SMPs are based on a multiscale t...
Paolo Piro, Sandrine Anthoine, Eric Debreuve, Mich...
ICIP
2008
IEEE
14 years 9 months ago
Spatio-spectral reconstruction of the multispectral datacube using sparse recovery
Multispectral scene information is useful for radiometric graphics, material identification and imaging systems simulation. The multispectral scene can be described as a datacube,...
Manu Parmar, Steven Lansel, Brian A. Wandell