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» Image Denoising with Kernels Based on Natural Image Relation...
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ICIP
2007
IEEE
14 years 9 months ago
Image Denoising with Directional Bases
Directional information is an important component of both natural and synthetic images, and it is exploited in many image processing applications. Directional basis analysis is us...
Heechan Park, Graham R. Martin, Zhen Yao
NIPS
2004
13 years 8 months ago
Modeling Nonlinear Dependencies in Natural Images using Mixture of Laplacian Distribution
Capturing dependencies in images in an unsupervised manner is important for many image processing applications. We propose a new method for capturing nonlinear dependencies in ima...
Hyun-Jin Park, Te-Won Lee
ICCV
2011
IEEE
12 years 7 months ago
From Learning Models of Natural Image Patches to Whole Image Restoration
Learning good image priors is of utmost importance for the study of vision, computer vision and image processing applications. Learning priors and optimizing over whole images can...
Daniel Zoran, Yair Weiss
SCIA
2007
Springer
120views Image Analysis» more  SCIA 2007»
14 years 1 months ago
Evaluating a General Class of Filters for Image Denoising
Abstract. Recently, an energy-based unified framework for image denoising was proposed by Mr´azek et al. [10], from which existing nonlinear filters such as M-smoothers, bilater...
Luis Pizarro, Stephan Didas, Frank Bauer, Joachim ...
TIP
2002
133views more  TIP 2002»
13 years 7 months ago
A joint inter- and intrascale statistical model for Bayesian wavelet based image denoising
Abstract--This paper presents a new wavelet-based image denoising method, which extends a recently emerged "geometrical" Bayesian framework. The new method combines three...
Aleksandra Pizurica, Wilfried Philips, Ignace Lema...