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» The RIM Framework for Image Processing
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PAMI
2008
181views more  PAMI 2008»
14 years 10 months ago
Automatic Estimation and Removal of Noise from a Single Image
Image denoising algorithms often assume an additive white Gaussian noise (AWGN) process that is independent of the actual RGB values. Such approaches cannot effectively remove colo...
Ce Liu, Richard Szeliski, Sing Bing Kang, C. Lawre...
88
Voted
ISBI
2004
IEEE
15 years 10 months ago
Brain Warping with Implicit Representations
In this paper, a new framework for brain warping via landmark matching is proposed using implicit representations or the level set method. We demonstrate this powerful technique b...
Alexia Leow, Paul M. Thompson, Hillary Protas, Sun...
WBIR
2010
SPRINGER
15 years 3 months ago
Reliability-Driven, Spatially-Adaptive Regularization for Deformable Registration
We propose a reliability measure that identifies informative image cues useful for registration, and present a novel, data-driven approach to spatially adapt regularization to the...
Lisa Tang, Ghassan Hamarneh, Rafeef Abugharbieh
100
Voted
ESANN
2006
14 years 11 months ago
Bayesian source separation: beyond PCA and ICA
Blind source separation (BSS) has become one of the major signal and image processing area in many applications. Principal component analysis (PCA) and Independent component analys...
Ali Mohammad-Djafari
ICIP
2008
IEEE
15 years 12 months ago
Modeling spatial patterns of shapes
We introduce a framework for modeling spatial patterns of shapes formed by multiple objects in an image. Our approach is graph-based where each node denotes an object and attribut...
Anuj Srivastava, Wei Liu, Shantanu H. Joshi