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» Filtering Random Layering Effects in Imaging
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ICIP
2007
IEEE
14 years 7 months ago
Compressed Sensing Image Reconstruction Via Recursive Spatially Adaptive Filtering
We introduce a new approach to image reconstruction from highly incomplete data. The available data are assumed to be a small collection of spectral coef?cients of an arbitrary li...
Karen O. Egiazarian, Alessandro Foi, Vladimir Katk...
TPCG
2003
IEEE
13 years 10 months ago
Demosaicing of Colour Images Using Pixel Level Data-Dependent Triangulation
Single-chip digital cameras use an array of broadspectrum Charge-Coupled Devices (CCD) overlayed with a colour filter array. The filter layer consists of transparent patches of ...
Dan Su, Philip Willis
CVPR
2007
IEEE
14 years 7 months ago
Utilizing Variational Optimization to Learn Markov Random Fields
Markov Random Field, or MRF, models are a powerful tool for modeling images. While much progress has been made in algorithms for inference in MRFs, learning the parameters of an M...
Marshall F. Tappen
CAIP
2009
Springer
257views Image Analysis» more  CAIP 2009»
13 years 3 months ago
On the Recovery of Depth from a Single Defocused Image
Abstract. In this paper we address the challenging problem of recovering the depth of a scene from a single image using defocus cue. To achieve this, we first present a novel appro...
Shaojie Zhuo, Terence Sim
CVPR
2010
IEEE
13 years 2 months ago
Image restoration and disparity estimation from an uncalibrated multi-layered image
Watching a reflection in a glass window, one can often observe a multi-layered image consisting of a frontsurface reflection from the glass and a rear-surface reflection through t...
Takahiro Yano, Masao Shimizu, Masatoshi Okutomi