TIP
2008
13 years 4 months ago
2008
Denoising is always a challenging problem in natural imaging and geophysical data processing. In this paper we consider the denoising of texture images using a nonlinear reaction-...
IJBRA
2007
13 years 4 months ago
2007
Abstract: High-throughput array-based assays have recently been developed to detect DNA copy number (DCN) aberrations. The DCN data from these arrays is characterized by high level...
IJON
2006
13 years 4 months ago
2006
In this paper we present denoising algorithms for enhancing noisy signals based on Local ICA (LICA), Delayed AMUSE (dAMUSE) and Kernel PCA (KPCA). The algorithm LICA relies on app...
IJCV
2008
13 years 4 months ago
2008
Neighborhood filters are nonlocal image and movie filters which reduce the noise by averaging similar pixels. The first object of the paper is to present a unified theory of these...
CORR
2006
Springer
13 years 4 months ago
2006
Springer
We refine and extend an earlier MDL denoising criterion for wavelet-based denoising. We start by showing that the denoising problem can be reformulated as a clustering problem, whe...
ANOR
2010
13 years 4 months ago
2010
Many image denoising methods can be characterized as minimizing "loss + penalty," where the "loss" measures the fidelity of the denoised image to the data, and ...
ADCM
2010
13 years 4 months ago
2010
The total variation model of Rudin, Osher, and Fatemi for image denoising is considered to be one of the best denoising models. In the past, its solutions were based on nonlinear ...
CVPR
2008
IEEE
13 years 4 months ago
2008
IEEE
This paper presents a new image denoising model for real color photo noise removal. Our model is implemented in the hue, saturation and intensity (HSI) space. The hue and saturati...
ICASSP
2010
IEEE
13 years 4 months ago
2010
IEEE
We present a novel weighted approach for shrinkage functions learning in image denoising. The proposed approach optimizes the shape of the shrinkage functions and maximizes denois...
CIMAGING
2008
13 years 6 months ago
2008
The Non-Local Means (NLM) method of denoising has received considerable attention in the image processing community due to its performance, despite its simplicity. In this paper, ...