Searching for authors named "Michael Elad" – sorted by Relevance.
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Sparse Representations are Most Likely to be the Sparsest Possible
- Sparse Representations are Most Likely to be the Sparsest Possible Michael Elad Department
- Cited by 2 (1 self) – Add To MetaCart
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Retinex by two bilateral filters
- Retinex by Two Bilateral Filters Michael Elad The Computer Science Department The Technion
- Cited by 2 (0 self) – Add To MetaCart
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Optimized projections for compressed sensing
- Optimized Projections for Compressed Sensing Michael Elad The Department of Computer Science
- Cited by 1 (0 self) – Add To MetaCart
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Analysis of the Bilateral Filter
- Analysis of the Bilateral Filter Michael Elad The Computer Science Department, SCCM Program
- Cited by 1 (0 self) – Add To MetaCart
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Why simple shrinkage is still relevant for redundant representations
- Is Still Relevant for Redundant Representations? Michael Elad, Member, IEEE Abstract—Shrinkage is a well
- Cited by 29 (2 self) – Add To MetaCart
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Image denoising with shrinkage and redundant representations
- Image Denoising with Shrinkage and Redundant Representations Michael Elad Department of Computer
- Cited by 13 (2 self) – Add To MetaCart
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Image sequence denoising via sparse and redundant representations, submitted to the
- Image Sequence Denoising Via Sparse and Redundant Representations ∗ Matan Protter and Michael Elad
- Cited by 5 (4 self) – Add To MetaCart
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Super-Resolution Reconstruction of Image Sequences
- Super-Resolution Reconstruction of Image Sequences Michael Elad HP Laboratories - Israel (HPL
- Cited by 33 (5 self) – Add To MetaCart
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Super-Resolution Reconstruction of Continuous Image Sequences
- SUPER-RESOLUTION RECONSTRUCTION OF CONTINUOUS IMAGE SEQUENCES Michael Elad HP Laboratories - Israel
- Cited by 8 (2 self) – Add To MetaCart
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Sparse and redundant modeling of image content using an image-signature-dictionary
- and Michael Elad Computer Science Department, Technion–Israel Institute of Technology Technion City, Haifa
- Cited by 2 (0 self) – Add To MetaCart

