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TIP
2011
84views more  TIP 2011»
13 years 3 months ago
Optimal Inversion of the Anscombe Transformation in Low-Count Poisson Image Denoising
—The removal of Poisson noise is often performed through the following three-step procedure. First, the noise variance is stabilized by applying the Anscombe root transformation ...
Markku Makitalo, Alessandro Foi
BIBM
2007
IEEE
126views Bioinformatics» more  BIBM 2007»
14 years 2 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...
IVC
2007
82views more  IVC 2007»
13 years 8 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
IDA
2009
Springer
14 years 3 months ago
Image Denoising Using Sparse Representations
The problem of removing white zero-mean Gaussian noise from an image is an interesting inverse problem to be investigated in this paper through sparse and redundant representations...
Seyyed Majid Valiollahzadeh, Hamed Firouzi, Massou...
CCECE
2006
IEEE
14 years 2 months ago
On Selection of Optimum Signal Source Impedance for Inductively-Degenerated CMOS LNAS
Noise figure optimization techniques for an inductivelydegenerated CMOS LNA with a lossy gate inductor are presented. The techniques allow for integration of the LNA directly wit...
Leonid Belostotski, James W. Haslett