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CVPR
2010
IEEE
14 years 4 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
ECCV
2002
Springer
14 years 9 months ago
Assorted Pixels: Multi-sampled Imaging with Structural Models
Abstract. Multi-sampled imaging is a general framework for using pixels on an image detector to simultaneously sample multiple dimensions of imaging (space, time, spectrum, brightn...
Shree K. Nayar, Srinivasa G. Narasimhan
ICASSP
2007
IEEE
14 years 2 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...
ICIP
2007
IEEE
14 years 2 months ago
Early Termination Algorithms for Correlation Coefficient Based Block Matching
Block based motion compensation techniques make frequent use of Early Termination Algorithms (ETA) to reduce the computational cost of block matching process. ETAs have been well ...
Arif Mahmood, Sohaib Khan
JCP
2008
145views more  JCP 2008»
13 years 7 months ago
An Effective Mining Algorithm for Weighted Association Rules in Communication Networks
The mining of weighted association rules is one of the primary methods used in communication alarm correlation analysis. With large communication alarm database, the traditional me...
Jian Wu, Xing ming Li