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» Motion Deblurring Using Hybrid Imaging
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CVPR
2009
IEEE
1724views Computer Vision» more  CVPR 2009»
15 years 2 months ago
Optimal Single Image Capture for Motion Deblurring
Deblurring images of moving objects captured from a traditional camera is an ill-posed problem due to the loss of high spatial frequencies in the captured images. Recent techniques...
Amit K. Agrawal, Ramesh Raskar
CVPR
2010
IEEE
14 years 3 months ago
Denoising vs. Deblurring: HDR Imaging Techniques Using Moving Cameras
New cameras such as the Canon EOS 7D and Pointgrey Grasshopper have 14-bit sensors. We present a theoretical analysis and a practical approach that exploit these new cameras with ...
Li Zhang, Alok Deshpande, Xin Chen
ECCV
2010
Springer
14 years 6 days ago
Velocity-Dependent Shutter Sequences for Motion Deblurring
We address the problem of high-quality image capture of fast-moving objects in moderate light environments. In such cases, the use of a traditional shutter is known to yield non-in...
ICIP
2010
IEEE
13 years 5 months ago
Single image deblurring with adaptive dictionary learning
We propose a motion deblurring algorithm that exploits sparsity constraints of image patches using one single frame. In our formulation, each image patch is encoded with sparse co...
Zhe Hu, Jia-Bin Huang, Ming-Hsuan Yang
PAMI
2011
13 years 2 months ago
Facial Deblur Inference Using Subspace Analysis for Recognition of Blurred Faces
— This paper proposes a novel method for recognizing faces degraded by blur using deblurring of facial images. The main issue is how to infer a Point Spread Function (PSF) repres...
Masashi Nishiyama, Abdenour Hadid, Hidenori Takesh...