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» Image Denoising with Directional Bases
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85
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ICIP
2008
IEEE
15 years 11 months ago
A perceptually adaptive approach to image denoising using anisotropic non-local means
This paper introduces a novel perceptually adaptive approach to image denoising using anisotropic non-local means. In the classical non-local means image denoising approach, the v...
Alexander Wong, Paul W. Fieguth, David A. Clausi
TSP
2010
14 years 4 months ago
Single antenna power measurements based direction finding
Abstract--In this paper, the problem of estimating direction-ofarrival (DOA) of multiple uncorrelated sources from single antenna power measurements is addressed. Utilizing the fac...
Joni Polili Lie, Thierry Blu, Chong Meng Samson Se...
DAGM
2006
Springer
15 years 1 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
73
Voted
ICASSP
2007
IEEE
15 years 4 months ago
Morphological Diversity and Sparse Image Denoising
Overcomplete representations are attracting interest in image processing theory, particularly due to their potential to generate sparse representations of data based on their morp...
Mohamed-Jalal Fadili, Jean-Luc Starck, Larbi Boubc...
90
Voted
ECCV
2006
Springer
15 years 11 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