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» A Non-Local Algorithm for Image Denoising
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TIP
2010
113views more  TIP 2010»
13 years 2 months ago
Multiplicative Noise Removal Using Variable Splitting and Constrained Optimization
Multiplicative noise (also known as speckle noise) models are central to the study of coherent imaging systems, such as synthetic aperture radar and sonar, and ultrasound and laser...
José M. Bioucas-Dias, Mário A. T. Fi...
IPAS
2008
13 years 10 months ago
Deblurring noisy radial-blurred images: spatially adaptive filtering approach
The deblurring of images corrupted by radial blur is studied. This type of blur appears in images acquired during any camera translation having a substantial component orthogonal ...
Giacomo Boracchi, Alessandro Foi, Vladimir Katkovn...

Publication
183views
13 years 5 months ago
A New Preprocessing Filter for Digital Mammogram
This paper presents a computer-aided approach to enhancing suspicious lesions in digital mammograms. The developed algorithm improves on a well-known preprocessor filter named cont...
Peyman Rahmati, Ghassan Hamarneh, Doron Nussbaum, ...
ICIP
2000
IEEE
14 years 7 days ago
Chromaticity Diffusion
—A novel approach for color image denoising is proposed in this paper. The algorithm is based on separating the color data into chromaticity and brightness, and then processing e...
Bei Tang, Guillermo Sapiro, Vicent Caselles
SIAMIS
2011
13 years 2 months ago
Gradient-Based Methods for Sparse Recovery
The convergence rate is analyzed for the sparse reconstruction by separable approximation (SpaRSA) algorithm for minimizing a sum f(x) + ψ(x), where f is smooth and ψ is convex, ...
William W. Hager, Dzung T. Phan, Hongchao Zhang