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IEICET
2006
69views more  IEICET 2006»
13 years 10 months ago
Enlargement for Images with Gaussian Noise by Embedded Filtering in the LP Algorithm
In this paper, we propose an enlargement method for images with Gaussian noise based on the Laplacian pyramid (LP) representation. Unlike lowpass preprocessing approaches to the L...
Shuai Yuan, Akira Taguchi, Masahide Abe, Masayuki ...
JMIV
2007
167views more  JMIV 2007»
13 years 9 months ago
A Variational Approach to Reconstructing Images Corrupted by Poisson Noise
We propose a new variational model to denoise an image corrupted by Poisson noise. Like the ROF model described in [1] and [2], the new model uses total-variation regularization, w...
Triet Le, Rick Chartrand, Thomas J. Asaki
CVIU
2010
198views more  CVIU 2010»
13 years 10 months ago
Non-Gaussian model-based fusion of noisy images in the wavelet domain
This paper describes a new methodology for multimodal image fusion based on non-Gaussian statistical modelling of wavelet coefficients. Special emphasis is placed on the fusion of...
Artur Loza, David R. Bull, Nishan Canagarajah, Ali...
CVPR
2011
IEEE
13 years 6 months ago
Sparse Image Representation with Epitomes
Sparse coding, which is the decomposition of a vector using only a few basis elements, is widely used in machine learning and image processing. The basis set, also called dictiona...
Louise Benoit, Julien Mairal, Francis Bach, Jean P...
ICASSP
2011
IEEE
13 years 1 months ago
A fully automated 2-DE gel image analysis pipeline for high throughput proteomics
Image analysis is still considered as the bottleneck in 2D-gel based expression proteomics analysis for biomarkers discovery. We are presenting a new end-to-end image analysis pip...
Panagiotis Tsakanikas, Elias S. Manolakos