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» Image Super-Resolution by Vectorizing Edges
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64
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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
68
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ICIP
2009
IEEE
14 years 8 months ago
Directionally adaptive super-resolution
In this paper a novel direction adaptive super-resolution (SR) image reconstruction method is proposed. The proposed maximum a-posteriori (MAP) based estimator uses gradient direc...
Emre Turgay, Gozde Bozdagi Akar
107
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NIPS
2003
14 years 11 months ago
A Mixed-Signal VLSI for Real-Time Generation of Edge-Based Image Vectors
A mixed-signal image filtering VLSI has been developed aiming at real-time generation of edge-based image vectors for robust image recognition. A four-stage asynchronous median de...
Masakazu Yagi, Hideo Yamasaki, Tadashi Shibata
415
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Source Code
1378views
13 years 6 months ago
gradient vector flow
Active contours, or snakes, are computer-generated curves that move within images to find object boundaries. Its 3D version is often known as deformable models or active surfaces ...
431
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Tutorial
1113views
13 years 6 months ago
Snakes, Shapes, and Gradient vector flow
Active contours, or snakes, are computer-generated curves that move within images to find object boundaries. Its 3D version is often known as deformable models or active surfaces ...