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» Robust Image Denoising Using Kernel-Induced Measures
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BIBM
2007
IEEE
126views Bioinformatics» more  BIBM 2007»
14 years 1 months ago
Microarray Image Denoising Using a Two-Stage Multiresolution Technique
DNA microarrays have demonstrated an excellent potential in correlating specific gene expression profiles to specific conditions. However, they are affected by inherent noise. ...
Hara Stefanou, Thanasis Margaritis, Dimitris Kafet...
ICASSP
2011
IEEE
12 years 11 months ago
SSIM-inspired image denoising using sparse representations
Perceptual image quality assessment (IQA) and sparse signal representation have recently emerged as high-impact research topics in the field of image processing. Here we make one...
Abdul Rehman, Zhou Wang, Dominique Brunet, Edward ...
DPHOTO
2010
360views Hardware» more  DPHOTO 2010»
13 years 9 months ago
Signal-dependent raw image denoising using sensor noise characterization via multiple acquisitions
Accurate noise level estimation is essential to assure good performance of noise reduction filters. Noise contaminating raw images is typically modeled as additive white and Gauss...
Angelo Bosco, Arcangelo Bruna, D. Giacalone, Sebas...
IVC
2007
82views more  IVC 2007»
13 years 7 months ago
Cloud covering denoising through image fusion
This paper presents a solution to the cloud removal problem, based in a recently developed image fusion methodology consisting in applying a 1-D pseudo-Wigner distribution (PWD) t...
Salvador Gabarda, Gabriel Cristóbal
JMLR
2010
147views more  JMLR 2010»
13 years 2 months ago
Image Denoising with Kernels Based on Natural Image Relations
A successful class of image denoising methods is based on Bayesian approaches working in wavelet representations. The performance of these methods improves when relations among th...
Valero Laparra, Juan Gutierrez, Gustavo Camps-Vall...