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» Non-parametric image super-resolution using multiple images
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ICASSP
2007
IEEE
15 years 4 months ago
POCS-Based Restoration of Bayer-Sampled Image Sequences
Spatial resolution of digital images are limited due to optical/sensor blurring and sensor site density. In single-chip digital cameras, the resolution is further degraded because...
Murat Gevrekci, Bahadir K. Gunturk, Yucel Altunbas...
CVPR
2004
IEEE
15 years 11 months ago
High-Zoom Video Hallucination by Exploiting Spatio-Temporal Regularities
In this paper, we consider the problem of super-resolving a human face video by a very high (?16) zoom factor. Inspired by recent literature on hallucination and examplebased lear...
Göksel Dedeoglu, Jonas August, Takeo Kanade
CVPR
2010
IEEE
15 years 6 months ago
Learning from Interpolated Images using Neural Networks for Digital Forensics
Interpolated images have data redundancy, and special correlation exists among neighboring pixels, which is a crucial clue in digital forensics. We design a neural network based f...
Yizhen Huang, Na Fan
ICIP
2010
IEEE
14 years 7 months ago
Multiframe blind deconvolution, super-resolution, and saturation correction via incremental EM
We formulate the multiframe blind deconvolution problem in an incremental expectation maximization (EM) framework. Beyond deconvolution, we show how to use the same framework to a...
Stefan Harmeling, Suvrit Sra, Michael Hirsch, Bern...
VLSISP
2002
114views more  VLSISP 2002»
14 years 9 months ago
Image processing using cellular neural networks based on multi-valued and universal binary neurons
Multi-valued and universal binary neurons (MVN and UBN) are the neural processing elements with the complex-valued weights and high functionality. It is possible to implement an a...
Igor N. Aizenberg, Constantine Butakoff