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» An Adaptive Method for Image Recovery in the DFT Domain
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ICASSP
2011
IEEE
12 years 11 months ago
Denoising of image patches via sparse representations with learned statistical dependencies
We address the problem of denoising for image patches. The approach taken is based on Bayesian modeling of sparse representations, which takes into account dependencies between th...
Tomer Faktor, Yonina C. Eldar, Michael Elad
ECCV
2010
Springer
13 years 8 months ago
Adapting Visual Category Models to New Domains
Abstract. Domain adaptation is an important emerging topic in computer vision. In this paper, we present one of the first studies of domain shift in the context of object recogniti...
Kate Saenko, Brian Kulis, Mario Fritz, Trevor Darr...
ACIVS
2007
Springer
13 years 11 months ago
Joint Domain-Range Modeling of Dynamic Scenes with Adaptive Kernel Bandwidth
Abstract. The first step in various computer vision applications is a detection of moving objects. The prevalent pixel-wise models regard image pixels as independent random process...
Borislav Antic, Vladimir S. Crnojevic
ICIP
2005
IEEE
14 years 9 months ago
An adaptive DCT-based Mod-4 steganographic method
This paper presents a novel Mod-4 steganographic method in discrete cosine transform (DCT) domain. A group of 2?2 quantized DCT coefficients (GQC) is selected as the valid embeddi...
Xiaojun Qi, KokSheik Wong
CVPR
2003
IEEE
14 years 9 months ago
Spacetime Stereo: Shape Recovery for Dynamic Scenes
This paper extends the traditional binocular stereo problem into the spacetime domain, in which a pair of video streams is matched simultaneously instead of matching pairs of imag...
Li Zhang, Brian Curless, Steven M. Seitz