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» Fundamental limits of image denoising: Are we there yet
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TIP
2008
193views more  TIP 2008»
13 years 7 months ago
Image Restoration Using Space-Variant Gaussian Scale Mixtures in Overcomplete Pyramids
In recent years Bayes Least Squares - Gaussian scale mixtures (BLS-GSM) has emerged as one of the most powerful methods for image restoration. Its strength relies on providing a si...
Jose A. Guerrero-Colon, Luis Mancera, Javier Porti...
SSPR
2004
Springer
14 years 1 months ago
Adaptive Context for a Discrete Universal Denoiser
Abstract. Statistical analysis of spatially uniform signal contexts allows Discrete Universal Denoiser (DUDE) to effectively correct signal errors caused by a discrete symmetric me...
Georgy L. Gimel'farb
ICCV
2009
IEEE
1035views Computer Vision» more  ICCV 2009»
15 years 20 days ago
Efficient High-Quality Image Contour Detection
Image contour detection is fundamental to many image analysis applications, including image segmentation, object recognition and classification. However, highly accurate image c...
Bryan Catanzaro, Bor-Yiing Su, Narayanan Sundaram,...
ICASSP
2010
IEEE
13 years 5 months ago
Phase correction and denoising for ICA of complex FMRI data
Analysis of functional magnetic resonance imaging (fMRI) data in its native, complex form has been shown to increase the sensitivity of the analysis both for data driven technique...
Pedro Rodriguez, Tülay Adali, Hualiang Li, Ni...
ICIP
2007
IEEE
14 years 9 months ago
On the Resolution Limits of Superimposed Projection
Multi-projector super-resolution is the dual of multi-camera superresolution. The goal of projector super-resolution is to produce a high resolution frame via superimposition of m...
Niranjan Damera-Venkata, Nelson L. Chang