Blind motion deblurring from a single image using sparse approximation
By Jian-Feng Cai, Hui Ji, Chaoqiang Liu, Zuowei Shen. 2009 IEEE Conference on Computer Vision and Pattern Recognition, 2009
328 citations recorded by the source corpus.
Subfields: Computer Vision and Pattern Recognition, Media Technology
View Paper: https://www.semanticscholar.org/paper/aeec8ddaebfe2a9b81d875a132f7a486b194ce4d
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Computer Vision and Pattern Recognition
- Ming-Hsuan Yang
- Luc Van Gool
- Dacheng Tao
- Andrew Zisserman
- Xiaogang Wang
- Lei Zhang
- Shuicheng Yan
- Trevor Darrell
In Media Technology
- Jean Ponce
- Ming-Hsuan Yang
- Jiaya Jia
- Ayan Chakrabarti
- Jian Sun
- Thomas S. Huang
- Julien Mairal
- William T. Freeman
Citations in the corpus
- Non-uniform Deblurring for Shaken Images (2010, background): “(2008), Cho and Lee (2009), Cai et al. (2009), and Xu and Jia (2010).”
- Statistics of real-world hyperspectral images (2011, background): “These models have proved valuable for inferring accurate images from noisy and incomplete measurements, with applications in denoising [12, 28] and restoration [4, 20].”
- Sparse Representation for Computer Vision and Pattern Recognition (2010, background): “98, No. 6, June 2010 | Proceedings of the IEEE 1031 and inpainting [ 15 ], [56], [60], background modeling [20], [25], photometric stereo [69], and image classification [55], [57], [65], [84], [91], [93].”
- Analyzing spatially-varying blur (2010, background): “In the latter case, one can now reliably estimate and reverse the effects of blur through a variety of methods, even when the (spatially-uniform) kernel is of a complex, nonparametric form [4, 11, 12, 14, 17, 20].”
- Two-Phase Kernel Estimation for Robust Motion Deblurring (2010, methodology): “The difference between this function and those used in [3, 6] is on the definition of the regularization terms.”
- Learning to Estimate and Remove Non-uniform Image Blur (2013, methodology): “Our approach is related to previous methods, such as [5, 9, 25, 28], but with significant differences and advantages.”
- Seismic data restoration via data-driven tight frame (2014, methodology): “The wavelet TF has been successfully applied to various data processing problems (Chan et al., 2003; Cai et al., 2008, 2009, 2010; Dong et al., 2012).”