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NIPS
2008
13 years 9 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
ICIP
2005
IEEE
14 years 1 months ago
Towards arbitrary camera movements for image cube trajectory analysis
Image Cube Trajectory (ICT) Analysis is a new and robust method to estimate the 3D structure of a scene from a set of 2D images. For a moving camera each 3D point is represented b...
Ingo Feldmann, Peter Eisert, Peter Kauff
ICCV
1999
IEEE
14 years 9 months ago
Unsupervised Image Classification with a Hierarchical EM Algorithm
This work takes place in the context of hierarchical stochastic models for the resolution of discrete inverse problems from low level vision. Some of these models lie on the nodes...
Annabelle Chardin, Patrick Pérez
CG
2005
Springer
13 years 7 months ago
Hyper-Resolution: Image detail reconstruction through parametric edges
Hyper-Resolution, a new technique for super-resolution reconstruction of images, is based on matching lowresolution target image details to their high-resolution counterparts from...
Lijun Yin, Matt T. Yourst
ACMSE
1992
ACM
13 years 11 months ago
Visible surface ray-tracing of stereoscopic images
Ray-tracing is a well-known method for producing realistic images. If we wish to view a ray-traced image stereoscopically, we must create two distinct views of the image: a left-e...
Stephen J. Adelson, Larry F. Hodges