TR2011-064
Parallel Quadratic Programming for Image Processing
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- , "Parallel Quadratic Programming for Image Processing", IEEE International Conference on Image Processing (ICIP), DOI: 10.1109/ICIP.2011.6116089, September 2011, pp. 2261-2264.BibTeX TR2011-064 PDF Software
- @inproceedings{Brand2011sep,
- author = {Brand, M. and Chen, D.},
- title = {Parallel Quadratic Programming for Image Processing},
- booktitle = {IEEE International Conference on Image Processing (ICIP)},
- year = 2011,
- pages = {2261--2264},
- month = sep,
- doi = {10.1109/ICIP.2011.6116089},
- url = {https://www.merl.com/publications/TR2011-064}
- }
- , "Parallel Quadratic Programming for Image Processing", IEEE International Conference on Image Processing (ICIP), DOI: 10.1109/ICIP.2011.6116089, September 2011, pp. 2261-2264.
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MERL Contact:
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Research Areas:
Abstract:
Many image processing and computer vision problems can be solved as quadratic programs in the non-negative cone. This paper develops a provably convergent multiplicative update that has a simple form and is amenable to fine-grained data parallelism. Classic algorithms for deblurring, matrix factorization, and tomography are recovered as special cases. This paper also demonstrates applications to super-resolution, labeling and segmentation.
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