Search Results - "Elad, M."

Optimized Projections for Compressed Sensing by Elad, M.

“…Compressed sensing (CS) offers a joint compression and sensing processes, based on the existence of a sparse representation of the treated signal and a set of…”
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Why Simple Shrinkage Is Still Relevant for Redundant Representations? by Elad, M.

“…Shrinkage is a well known and appealing denoising technique, introduced originally by Donoho and Johnstone in 1994. The use of shrinkage for denoising is known…”
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On the origin of the bilateral filter and ways to improve it by Elad, M.

“…Additive noise removal from a given signal is an important problem in signal processing. Among the most appealing aspects of this field are the ability to…”
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Generalizing the Nonlocal-Means to Super-Resolution Reconstruction by Protter, M., Elad, M., Takeda, H., Milanfar, P.

“…Super-resolution reconstruction proposes a fusion of several low-quality images into one higher quality result with better optical resolution. Classic…”
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Double Sparsity: Learning Sparse Dictionaries for Sparse Signal Approximation by Rubinstein, R., Zibulevsky, M., Elad, M.

“…An efficient and flexible dictionary structure is proposed for sparse and redundant signal representation. The proposed sparse dictionary is based on a…”
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Sparse Representation for Color Image Restoration by Mairal, J., Elad, M., Sapiro, G.

“…Sparse representations of signals have drawn considerable interest in recent years. The assumption that natural signals, such as images, admit a sparse…”
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Super-Resolution Without Explicit Subpixel Motion Estimation by Takeda, H., Milanfar, P., Protter, M., Elad, M.

“…The need for precise (subpixel accuracy) motion estimates in conventional super-resolution has limited its applicability to only video sequences with…”
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Image Sequence Denoising via Sparse and Redundant Representations by Protter, M., Elad, M.

“…In this paper, we consider denoising of image sequences that are corrupted by zero-mean additive white Gaussian noise. Relative to single image denoising…”
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Stable recovery of sparse overcomplete representations in the presence of noise by Donoho, D.L., Elad, M., Temlyakov, V.N.

“…Overcomplete representations are attracting interest in signal processing theory, particularly due to their potential to generate sparse representations of…”
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The cosparse analysis model and algorithms by Nam, S., Davies, M.E., Elad, M., Gribonval, R.

“…After a decade of extensive study of the sparse representation synthesis model, we can safely say that this is a mature and stable field, with clear…”
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Fast and robust multiframe super resolution by Farsiu, S., Robinson, M.D., Elad, M., Milanfar, P.

“…Super-resolution reconstruction produces one or a set of high-resolution images from a set of low-resolution images. In the last two decades, a variety of…”
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Image decomposition via the combination of sparse representations and a variational approach by Starck, J.-L., Elad, M., Donoho, D.L.

“…The separation of image content into semantic parts plays a vital role in applications such as compression, enhancement, restoration, and more. In recent…”
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Self-Stabilizing and Private Distributed Shared Atomic Memory in Seldomly Fair Message Passing Networks by Dolev, Shlomi, Petig, Thomas, Schiller, Elad M.

“…We study the problem of privately emulating shared memory in message-passing networks. The system includes clients that store and retrieve replicated…”
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A Plurality of Sparse Representations Is Better Than the Sparsest One Alone by Elad, M., Yavneh, I.

“…Cleaning of noise from signals is a classical and long-studied problem in signal processing. Algorithms for this task necessarily rely on an a priori knowledge…”
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Simultaneous cartoon and texture image inpainting using morphological component analysis (MCA) by Elad, M., Starck, J.-L., Querre, P., Donoho, D.L.

“…This paper describes a novel inpainting algorithm that is capable of filling in holes in overlapping texture and cartoon image layers. This algorithm is a…”
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On the Uniqueness of Nonnegative Sparse Solutions to Underdetermined Systems of Equations by Bruckstein, A.M., Elad, M., Zibulevsky, M.

“…An underdetermined linear system of equations Ax = b with nonnegativity constraint x ges 0 is considered. It is shown that for matrices A with a row-span…”
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A generalized uncertainty principle and sparse representation in pairs of bases by Elad, M., Bruckstein, A.M.

“…An elementary proof of a basic uncertainty principle concerning pairs of representations of R/sup N/ vectors in different orthonormal bases is provided. The…”
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The projected GSURE for automatic parameter tuning in iterative shrinkage methods by Giryes, R., Elad, M., Eldar, Y.C.

“…Linear inverse problems are very common in signal and image processing. Many algorithms that aim at solving such problems include unknown parameters that need…”
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Multiframe demosaicing and super-resolution of color images by Farsiu, S., Elad, M., Milanfar, P.

“…In the last two decades, two related categories of problems have been studied independently in image restoration literature: super-resolution and demosaicing…”
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A fast super-resolution reconstruction algorithm for pure translational motion and common space-invariant blur by Elad, M., Hel-Or, Y.

“…This paper addresses the problem of recovering a super-resolved image from a set of warped blurred and decimated versions thereof. Several algorithms have…”
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