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» Quantization of Sparse Representations
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ICIP
2009
IEEE
13 years 2 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...
ICIP
2009
IEEE
14 years 6 months ago
Color De-quantizing Through Iterated Dynamic Hard Thresholding On An Overcomplete Representation
We propose a new color de-quantizing method for paletted images based on maximizing the sparseness of the overcomplete wavelet analysis of the estimation within the consistency se...
ICCV
2005
IEEE
14 years 7 months ago
Learning Non-Negative Sparse Image Codes by Convex Programming
Example-based learning of codes that statistically encode general image classes is of vital importance for computational vision. Recently, non-negative matrix factorization (NMF) ...
Christoph Schnörr, Matthias Heiler
KDD
2009
ACM
249views Data Mining» more  KDD 2009»
14 years 5 months ago
Drosophila gene expression pattern annotation using sparse features and term-term interactions
The Drosophila gene expression pattern images document the spatial and temporal dynamics of gene expression and they are valuable tools for explicating the gene functions, interac...
Shuiwang Ji, Lei Yuan, Ying-Xin Li, Zhi-Hua Zhou, ...
CORR
2010
Springer
121views Education» more  CORR 2010»
13 years 2 months ago
Universal Rate-Efficient Scalar Quantization
Scalar quantization is the most practical and straightforward approach to signal quantization. However, it has been shown that scalar quantization of oversampled or Compressively ...
Petros Boufounos