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» Maximum-Likelihood Image Matching
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118
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ICPR
2000
IEEE
16 years 4 months ago
Optimal Color Composition Matching of Images
Color features are among the most important features used in image database retrieval, especially in cases where no additional semantic information is available. Due to its compac...
Jianying Hu, Aleksandra Mojsilovic
122
Voted
SIGPRO
2010
293views more  SIGPRO 2010»
15 years 1 months ago
Image denoising by bounded block matching and 3D filtering
The block-matching with 3D transform domain collaborative filtering (BM3D) achieves very good performance in image denoising. However, BM3D becomes ineffective when an image is h...
Qian Chen, Dapeng Wu
103
Voted
ICIP
2005
IEEE
16 years 5 months ago
A fingerprint recognition algorithm using phase-based image matching for low-quality fingerprints
A major approach for fingerprint recognition today is to extract minutiae from fingerprint images and to perform fingerprint matching based on the number of corresponding minutiae ...
Koichi Ito, Ayumi Morita, Takafumi Aoki, Tatsuo Hi...
105
Voted
ICASSP
2008
IEEE
15 years 10 months ago
Phase singularities for image representation and matching
Phase features are widely used in image processing and representation due to their stability to deformation and noise [1, 2]. However, phase singularities,where the signals vanish...
Yu Qiao, Wei Wang, Nobuaki Minematsu, Jianzhuang L...
88
Voted
IEEECIT
2010
IEEE
15 years 2 months ago
A Rotate-based Best Neighborhood Matching Algorithm for High Definition Image Error Concealment
—Error concealment restores the visual integrity of image content that has been damaged due to a bad network transmission. Best neighborhood matching (BNM) is an effective image ...
Liqiang He, Yanyan Zhang