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CVPR
2012
IEEE
11 years 9 months ago
Nonlinear camera response functions and image deblurring
This paper investigates the role that nonlinear camera response functions (CRFs) have on image deblurring. In particular, we show how nonlinear CRFs can cause a spatially invarian...
Sunyeong Kim, Yu-Wing Tai, Seon Joo Kim, Michael S...
ICIP
2010
IEEE
13 years 4 months ago
Constructing a sparse convolution matrix for shift varying image restoration problems
Convolution operator is a linear operator characterized by a point spread functions (PSF). In classical image restoration problems, the blur is usually shift invariant and so the ...
Stanley H. Chan
CVPR
2009
IEEE
1724views Computer Vision» more  CVPR 2009»
15 years 1 months ago
Optimal Single Image Capture for Motion Deblurring
Deblurring images of moving objects captured from a traditional camera is an ill-posed problem due to the loss of high spatial frequencies in the captured images. Recent techniques...
Amit K. Agrawal, Ramesh Raskar
TIP
2010
171views more  TIP 2010»
13 years 1 months ago
Contourlet Domain Multiband Deblurring Based on Color Correlation for Fluid Lens Cameras
Abstract-- Due to the novel fluid optics, unique image processing challenges are presented by the fluidic lens camera system. Developed for surgical applications, unique properties...
Jack Tzeng, Chun-Chen Liu, Truong Q. Nguyen
ICANN
2010
Springer
13 years 8 months ago
A Directional Laplacian Density for Underdetermined Audio Source Separation
In this work, a novel probability distribution is proposed to model sparse directional data. The Directional Laplacian Distribution (DLD) is a hybrid between the linear Laplacian d...
Nikolaos Mitianoudis