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» Motion Deblurring Using Hybrid Imaging
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CVPR
2009
IEEE
1724views Computer Vision» more  CVPR 2009»
16 years 9 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
15 years 11 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
15 years 7 months 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
15 years 23 days 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
14 years 9 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...