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» Image Denoising with Directional Bases
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CVPR
2010
IEEE
14 years 10 months ago
Robust RVM regression using sparse outlier model
Kernel regression techniques such as Relevance Vector Machine (RVM) regression, Support Vector Regression and Gaussian processes are widely used for solving many computer vision p...
Kaushik Mitra, Ashok Veeraraghavan, Rama Chellappa
CVPR
2012
IEEE
13 years 6 days ago
Cross-based local multipoint filtering
This paper presents a cross-based framework of performing local multipoint filtering efficiently. We formulate the filtering process as a local multipoint regression problem, c...
Jiangbo Lu, Keyang Shi, Dongbo Min, Liang Lin, Min...
SIAMSC
2008
127views more  SIAMSC 2008»
14 years 9 months ago
Restoration of Chopped and Nodded Images by Framelets
In infrared astronomy, an observed image from a chop and nod process can be considered as the result of passing the original image through a highpass filter. Here we propose a rest...
Jian-Feng Cai, Raymond H. Chan, Lixin Shen, Zuowei...
VMV
2000
157views Visualization» more  VMV 2000»
14 years 11 months ago
Visualization of Principal Curvature Directions by Anisotropic Diffusion
Anisotropic diffusion is known to be a powerful tool in image processing. It enables the smoothing of initially noisy images while still retaining, respectively sharpening edges a...
Udo Diewald, Martin Rumpf
CISST
2004
186views Hardware» more  CISST 2004»
14 years 11 months ago
Colour and Shape Based Image Retrieval for CVPIC Coded Images
Abstract Compressed domain image retrieval is going to play an increasingly important role in the future. It allows the calculation of image features and hence content-based image ...
Gerald Schaefer, Simon Lieutaud