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» On cooperative image denoising
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CVPR
2011
IEEE
13 years 5 months ago
Sparsity-based Image Denoising via Dictionary Learning and Structural Clustering
Where does the sparsity in image signals come from? Local and nonlocal image models have supplied complementary views toward the regularity in natural images the former attempts t...
Weisheng Dong, Xin Li
ICIAP
2007
ACM
14 years 2 months ago
A new and reliable Poisson noise estimator for radiographic images
Digital images in general, and radiographies in particular, are mainly affected by photon counting noise. In this paper, we provide a method to estimate the gain of the imaging se...
Iuri Frosio, Mirko Lucchese, N. Alberto Borghese
ECCV
2006
Springer
14 years 10 months ago
Random Walks, Constrained Multiple Hypothesis Testing and Image Enhancement
Image restoration is a keen problem of low level vision. In this paper, we propose a novel - assumption-free on the noise model - technique based on random walks for image enhancem...
Noura Azzabou, Nikos Paragios, Frederic Guichard
DAGM
2006
Springer
13 years 11 months ago
Ultrasound Image Denoising by Spatially Varying Frequency Compounding
Ultrasound images are very noisy. Along with system noise, a significant noise source is the speckle phenomenon, caused by interference in the viewed object. Most past approaches f...
Yael Erez, Yoav Y. Schechner, Dan Adam
JMIV
2002
126views more  JMIV 2002»
13 years 7 months ago
Tree-Structured Haar Transforms
In our recent work, a class of parametric transforms, including family of Haar-like transforms, was introduced and studied in application to image compression. Parametric Haar-lik...
Karen O. Egiazarian, Jaakko Astola