38 search results - page 1 / 8 » Adaptive principal components and image denoising |
ICIP
2003
IEEE
14 years 7 months ago
2003
IEEE
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 ...
ICIP
2008
IEEE
14 years 7 months ago
2008
IEEE
This paper presents an image denoising algorithm that uses principal component analysis (PCA) in conjunction with the non-local means image denoising. Image neighborhood vectors u...
PR
2010
13 years 3 months ago
2010
WSCG
2004
13 years 6 months ago
2004
Principal Component Analysis (PCA) is a basis transformation to diagonalize an estimate of the covariance matrix of input data and, the new coordinates in the Eigenvector basis ar...
CVPR
2009
IEEE
15 years 13 days ago
2009
IEEE
We present a novel multi-view denoising algorithm. Our
algorithm takes noisy images taken from different viewpoints
as input and groups similar patches in the input images using
...