474 search results - page 17 / 95 » Denoising using local projective subspace methods |
SIGMOD
2000
ACM
14 years 1 months ago
2000
ACM
High dimensional data has always been a challenge for clustering algorithms because of the inherent sparsity of the points. Recent research results indicate that in high dimension...
TIP
2002
13 years 8 months ago
2002
Signal and image enhancement is considered in the context of a new type of diffusion process that simultaneously enhances, sharpens, and denoises images. The nonlinear diffusion co...
TIP
2010
2010
Automatic Parameter Selection for Denoising Algorithms Using a No-Reference Measure of Image Content
13 years 3 months ago
Across the field of inverse problems in image and video processing, nearly all algorithms have various parameters which need to be set in order to yield good results. In practice, ...
ICIP
2005
IEEE
14 years 2 months ago
2005
IEEE
Abstract— In this paper, we describe a two-step varianceadaptive method for image denoising based on a statistical model of the coefficients of balanced multiwavelet transform. ...
CVPR
2004
IEEE
14 years 10 months ago
2004
IEEE
We consider the problem of segmenting multiple rigid motions from point correspondences in multiple affine views. We cast this problem as a subspace clustering problem in which th...