Sciweavers

ICIP
2009
IEEE
13 years 2 months ago
Markovian clustering for the non-local means image denoising
The non-local means filter is one of powerful denoising methods which allows participation of far, but proper pixels in the denoising process. Although the weights of non-similar ...
Rachid Hedjam, Reza Farrahi Moghaddam, Mohamed Che...
ICIP
2010
IEEE
13 years 3 months ago
Undecimated haar thresholding for poisson intensity estimation
We propose a novel algorithm for denoising Poisson-corrupted images, that performs a signal-adaptive thresholding of the undecimated Haar wavelet coefficients. A Poisson's un...
Florian Luisier, Thierry Blu, Michael Unser
ICIP
2010
IEEE
13 years 3 months ago
A no-reference image content metric and its application to denoising
A no-reference image metric based on the singular value decomposition of local image gradients is proposed in this paper. This metric provides a quantitative measure of true image...
Xiang Zhu, Peyman Milanfar
ICIP
2010
IEEE
13 years 3 months ago
Patch confidence k-nearest neighbors denoising
Recently, patch-based denoising techniques have proved to be very effective. Indeed, they account for the correlations that exist among patches of natural images. Taking a variati...
Cesario Vincenzo Angelino, Eric Debreuve, Michel B...
TIP
2010
155views more  TIP 2010»
13 years 3 months ago
Is Denoising Dead?
—Image denoising has been a well studied problem in the field of image processing. Yet researchers continue to focus attention on it to better the current state-of-the-art. Rece...
Priyam Chatterjee, Peyman Milanfar
SIAMSC
2010
194views more  SIAMSC 2010»
13 years 3 months ago
A Multilevel Algorithm for Simultaneously Denoising and Deblurring Images
In this paper, we develop a fast multilevel algorithm for simultaneously denoising and deblurring images under the total variation regularization. Although much effort has been de...
Raymond H. Chan, Ke Chen 0002
ICMLC
2010
Springer
13 years 3 months ago
Multiple kernel learning and feature space denoising
We review a multiple kernel learning (MKL) technique called p regularised multiple kernel Fisher discriminant analysis (MK-FDA), and investigate the effect of feature space denois...
Fei Yan, Josef Kittler, Krystian Mikolajczyk
CORR
2010
Springer
59views Education» more  CORR 2010»
13 years 3 months ago
Noise Invalidation Denoising
—A denoising technique based on noise invalidation is proposed. The adaptive approach derives a noise signature from the noise order statistics and utilizes the signature to deno...
Soosan Beheshti, Masoud Hashemi, Xiao-Ping Zhang, ...
PR
2007
136views more  PR 2007»
13 years 4 months ago
Image denoising with complex ridgelets
In this paper, we propose a novel image denoising method by incorporating the dual-tree complex wavelets into the ordinary ridgelet transform. The approximate shift invariant prop...
Guangyi Chen, Balázs Kégl
JMIV
2002
122views more  JMIV 2002»
13 years 4 months ago
Markov Random Field Modeling in Median Pyramidal Transform Domain for Denoising Applications
We consider a median pyramidal transform for denoising applications. Traditional techniques of pyramidal denoising are similar to those in wavelet-based methods. In order to remove...
Ilya Gluhovsky, Vladimir P. Melnik, Ilya Shmulevic...