Sciweavers

TSP
2010
13 years 5 months ago
Compressed sensing performance bounds under Poisson noise
Abstract--This paper describes performance bounds for compressed sensing (CS) where the underlying sparse or compressible (sparsely approximable) signal is a vector of nonnegative ...
Maxim Raginsky, Rebecca Willett, Zachary T. Harman...
ICIP
2010
IEEE
13 years 9 months ago
Poisson NL means: Unsupervised non local means for Poisson noise
An extension of the non local (NL) means is proposed for images damaged by Poisson noise. The proposed method is guided by the noisy image and a pre-filtered image and is adapted ...
Charles-Alban Deledalle, Florence Tupin, Loïc...
JMIV
2007
167views more  JMIV 2007»
13 years 11 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
ISBI
2008
IEEE
14 years 12 months ago
Deconvolution of confocal microscopy images using proximal iteration and sparse representations
We propose a deconvolution algorithm for images blurred and degraded by a Poisson noise. The algorithm uses a fast proximal backward-forward splitting iteration. This iteration mi...
François-Xavier Dupé, Mohamed-Jalal ...
ICIP
2009
IEEE
15 years 6 days ago
Efficient Poisson Denoising For Photography
In general, image sensor noise is dominated by Poisson statistics, even at high illumination level, yet most standard denoising procedures often assume a simpler additive Gaussian...
ICIP
2008
IEEE
15 years 27 days ago
Photon-limited image denoising by inference on multiscale models
We present an improved statistical model of Poisson processes, with applications in photon-limited imaging. We build on previous work, adopting a multiscale representation of the ...
Stamatios Lefkimmiatis, George Papandreou, Petros ...
ECCV
2006
Springer
15 years 1 months ago
An Intensity Similarity Measure in Low-Light Conditions
In low-light conditions, it is known that Poisson noise and quantization noise become dominant sources of noise. While intensity difference is usually measured by Euclidean distanc...
François Alter, Yasuyuki Matsushita, Xiaoou...