102 search results - page 12 / 21 » Local regularity-based image denoising |
DPHOTO
2010
13 years 9 months ago
2010
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...
CVPR
2011
IEEE
13 years 3 months ago
2011
IEEE
Kernel methods have been popular over the last decade to solve many computer vision, statistics and machine learning problems. An important, both theoretically and practically, op...
ECCV
2008
Springer
14 years 9 months ago
2008
Springer
Many recent techniques for low-level vision problems such as image denoising are formulated in terms of Markov random field (MRF) or conditional random field (CRF) models. Nonethel...
TIP
2010
2010
Automatic Parameter Selection for Denoising Algorithms Using a No-Reference Measure of Image Content
13 years 2 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, ...
ICPR
2006
IEEE
2006
IEEE
Regularized Locality Preserving Learning of Pre-Image Problem in Kernel Principal Component Analysis
14 years 1 months ago
In this paper, we address the pre-image problem in kernel principal component analysis (KPCA). The preimage problem finds a pattern as the pre-image of a feature vector defined in...