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» Blurred Non-Blurred Image Alignment using Sparseness Prior
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ICCV
2007
IEEE
14 years 5 months ago
Blurred/Non-Blurred Image Alignment using Sparseness Prior
Aligning a pair of blurred and non-blurred images is a prerequisite for many image and video restoration and graphics applications. The traditional alignment methods such as direct...
Lu Yuan, Jian Sun, Long Quan, Heung-Yeung Shum
CVPR
2009
IEEE
13 years 7 months ago
High-quality curvelet-based motion deblurring from an image pair
One promising approach to remove motion deblurring is to recover one clear image using an image pair. Existing dual-image methods require an accurate image alignment between the i...
Jian-Feng Cai, Hui Ji, Chaoqiang Liu, Zuowei Shen
PAMI
2010
337views more  PAMI 2010»
13 years 2 months ago
Single-Image Super-Resolution Using Sparse Regression and Natural Image Prior
—This paper proposes a framework for single-image super-resolution. The underlying idea is to learn a map from input low-resolution images to target high-resolution images based ...
Kwang In Kim, Younghee Kwon
CVPR
2009
IEEE
1372views Computer Vision» more  CVPR 2009»
14 years 10 months ago
Blind motion deblurring from a single image using sparse approximation
Restoring a clear image from a single motion-blurred image due to camera shake has long been a challenging problem in digital imaging. Existing blind deblurring techniques eithe...
Jian-Feng Cai (National University of Singapore), ...
VISUALIZATION
1999
IEEE
13 years 8 months ago
Splatting Without the Blur
Splatting is a volume rendering algorithm that combines efficient volume projection with a sparse data representation: Only voxels that have values inside the iso-range need to be...
Klaus Mueller, Torsten Möller, Roger Crawfis