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» Blind deblurring of natural images
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ICCV
2011
IEEE
12 years 7 months ago
A Theory of Coprime Blurred Pairs
We present a new Coprime Blurred Pair (CBP) theory that may benefit a number of computer vision applications. A CBP is constructed by blurring the same latent image with two unkn...
Feng Li, Zijia Li, David Saunders, Jingyi Yu
NIPS
2008
13 years 8 months ago
Natural Image Denoising with Convolutional Networks
We present an approach to low-level vision that combines two main ideas: the use of convolutional networks as an image processing architecture and an unsupervised learning procedu...
Viren Jain, H. Sebastian Seung
ICPR
2004
IEEE
14 years 8 months ago
Text Detection from Natural Scene Images: Towards a System for Visually Impaired Persons
We propose a system that reads the text encountered in natural scenes with the aim to provide assistance to the visually impaired persons. This paper describes the system design a...
Nobuo Ezaki, Marius Bulacu, Lambert Schomaker
ICDAR
2005
IEEE
14 years 17 days ago
Improved Text-Detection Methods for a Camera-based Text Reading System for Blind Persons
Automatic text recognition from natural images receives a growing attention because of potential applications in image retrieval, robotics and intelligent transport system. Camera...
Nobuo Ezaki, Kimiyasu Kiyota, Bui Truong Minh, Mar...
IJON
2007
74views more  IJON 2007»
13 years 6 months ago
Visual object concept discovery: Observations in congenitally blind children, and a computational approach
Over the course of the first few months of life, our brains accomplish a remarkable feat. They are able to interpret complex visual images so that instead of being just disconnec...
Jake V. Bouvrie, Pawan Sinha