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» Adaptive Image Denoising by Mixture Adaptation
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ICMCS
2006
IEEE
141views Multimedia» more  ICMCS 2006»
14 years 1 months ago
Optimal Linear Combination of Denoising Schemes for Efficient Removal of Image Artifacts
Different denoising schemes show dissimilar types of artifacts. For example, certain transform-based denoising schemes could introduce artifacts in smooth regions while others eli...
Ramin Eslami, Hayder Radha
ICIP
2003
IEEE
14 years 9 months ago
Adaptive principal components and image denoising
This paper presents a novel approach to image denoising using adaptive principal components. Our assumptions are that the image is corrupted by additive white Gaussian noise. The ...
D. Darian Muresan, Thomas W. Parks
TIP
2008
205views more  TIP 2008»
13 years 7 months ago
Image Denoising Using Derotated Complex Wavelet Coefficients
A method for removing additive Gaussian noise from digital images is described. It is based on statistical modeling of the coefficients of a redundant, oriented, complex multiscale...
Mark Miller, Nick G. Kingsbury
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...
ICIP
2010
IEEE
13 years 5 months ago
Morphological wavelet transform with adaptive dyadic structures
We propose a two component method for denoising multidimensional signals, e.g. images. The first component uses a dynamic programing algorithm of complexity O(N log N) to find an ...
Zhen James Xiang, Peter J. Ramadge