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153
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CVPR
2012
IEEE
13 years 5 months ago
Image denoising: Can plain neural networks compete with BM3D?
Image denoising can be described as the problem of mapping from a noisy image to a noise-free image. The best currently available denoising methods approximate this mapping with c...
Harold Christopher Burger, Christian J. Schuler, S...
CVPR
2009
IEEE
1866views Computer Vision» more  CVPR 2009»
16 years 10 months ago
Understanding and evaluating blind deconvolution algorithms
Blind deconvolution is the recovery of a sharp version of a blurred image when the blur kernel is unknown. Recent algorithms have afforded dramatic progress, yet many aspects of...
Anat Levin, Yair Weiss, Frédo Durand, Willi...
CVPR
2004
IEEE
16 years 4 months ago
Video Repairing: Inference of Foreground and Background under Severe Occlusion
In this paper, we propose a new method, video repairing, to robustly infer missing static background and moving foreground due to severe damage or occlusion from a video. To recov...
Jiaya Jia, Tai-Pang Wu, Yu-Wing Tai, Chi-Keung Tan...
115
Voted
ICCV
2003
IEEE
16 years 4 months ago
Circular Motion Geometry by Minimal 2 Points in 4 Images
This paper describes a new and simple method of recovering the geometry of uncalibrated circular motion or single axis motion using a minimal data set of 2 points in 4 images. Thi...
Guang Jiang, Long Quan, Hung-Tat Tsui
ICCV
1999
IEEE
16 years 4 months ago
Structure and Motion from Lines under Affine Projections
In this paper we investigate the geometry and algebra of multiple projections of lines with affine cameras. Previously, the case of seven lines in three images has been studied. I...
Anders Heyden, Fredrik Kahl, Kalle Åströ...