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» The Use of Residuals in Image Denoising
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ICIP
2004
IEEE
14 years 9 months ago
Theoretical analysis of some regularized image denoising methods
Regularization techniques have been in use in signal recovery for over four decades. In this paper, we propose a new, synthetic approach to the study of regularization methods in ...
Patrick L. Combettes, Valerie R. Wajs
NOLISP
2007
Springer
14 years 1 months ago
Quantitative Perceptual Separation of Two Kinds of Degradation in Speech Denoising Applications
Classical objective criteria evaluate speech quality using one quantity which embed all possible kind of degradation. For speech denoising applications, there is a great need to d...
Anis Ben Aicha, Sofia Ben Jebara
TIP
2008
213views more  TIP 2008»
13 years 5 months ago
Deblurring Using Regularized Locally Adaptive Kernel Regression
Kernel regression is an effective tool for a variety of image processing tasks such as denoising and interpolation [1]. In this paper, we extend the use of kernel regression for de...
Hiroyuki Takeda, Sina Farsiu, Peyman Milanfar
MICCAI
2003
Springer
14 years 8 months ago
De-noising SPECT/PET Images Using Cross-Scale Regularization
De-noising of SPECT and PET images is a challenging task due to the inherent low signal-to-noise ratio of acquired data. Wavelet based multiscale denoising methods typically apply ...
Yinpeng Jin, Elsa D. Angelini, Peter D. Esser, And...