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» Regularized Interpolation for Noisy Images
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EMMCVPR
2005
Springer
14 years 1 months ago
An Adaptive Variational Model for Image Decomposition
Abstract. We propose a new model for image decomposition which separates an image into a cartoon, consisting only of geometric objects, and an oscillatory component, consisting of ...
Stacey Levine
TIP
2008
213views more  TIP 2008»
13 years 6 months ago
Deblurring Using Regularized Locally Adaptive Kernel Regression
Kernel regression is an effective tool for a variety of image processing tasks such as denoising and interpolation [1]. In this paper, we extend the use of kernel regression for de...
Hiroyuki Takeda, Sina Farsiu, Peyman Milanfar
ECCV
1998
Springer
14 years 9 months ago
From Regular Images to Animated Heads: A Least Squares Approach
Abstract. We show that we can e ectively t arbitrarily complex animation models to noisy image data. Our approach is based on leastsquares adjustment using of a set of progressivel...
Pascal Fua, C. Miccio
IPAS
2008
13 years 10 months ago
Deblurring noisy radial-blurred images: spatially adaptive filtering approach
The deblurring of images corrupted by radial blur is studied. This type of blur appears in images acquired during any camera translation having a substantial component orthogonal ...
Giacomo Boracchi, Alessandro Foi, Vladimir Katkovn...
ISBRA
2007
Springer
14 years 1 months ago
Wavelet Image Interpolation (WII): A Wavelet-Based Approach to Enhancement of Digital Mammography Images
Abstract. Cancer detection using mammography focuses on characteristics of tiny microcalcifications, including the number, size, and spatial arrangement of microcalcification clu...
Gordana Derado, F. DuBois Bowman, Rajan Patel, Mar...