News

November 21, 2011

Recognizing the achievements of its members is an important part of the mission of the IEEE

Recognizing the achievements of its members is an important part of the mission of the IEEE. Each year, following a rigorous evaluation procedure, the IEEE Fellow Committee recommends a select group of recipients for one of the Association’s most prestigious honors, elevation to IEEE Fellow. I have just been informed that the IEEE Board of Directors, at its November 2011 meeting, elevated me to IEEE Fellow, effective 1 January 2012, with the following citation: "for contributions to sparsity-and-redundancy in image processing".
October 3, 2010

Freddy Bruckstein's, David Donoho's and Michael Elad's article has been selected by Thomson Reuters Essential Science Indicators

In February 2009, Freddy Bruckstein, David Donoho, and I published a paper in SIAM-Review (SIAM Rev. 51[1]: 34-81, March 2009) on sparse representations, covering this topic from initial theoretical ideas, and all the way to applications in image processing. Few weeks ago we have been notified thatВ "this article has been identified by Thomson Reuters Essential Science Indicators as a featured Fast-Breaking Paper in the field of Mathematics, which means it is one of the most-cited papers in this discipline published during the past two years". Information about this article and the story behind it are now featured inВ Thomson Reuters ScienceWatch.
September 14, 2010

My new book "Sparse and Redundant Representations: From Theory to Applications in Signal and Image Processing", (Springer) is now available

My new book, titled "Sparse and Redundant Representations: From Theory to Applications in Signal and Image Processing", (Springer) is now available. This book provides a reader-friendly and comprehensive view of the field of sparse approxmation, and its impact to image processing. The book offers a systematic and ordered exposure to the theoretical foundations of this field, the numerical aspects of the involved algorithms, and the signal and image processing applications that benefit from these advancements. Originally written to serve as a text-book for a graduate engineering course, this book is an easy entry-point for inetrested readers, and for others already active in this area. See Amazon for more details. A Matlab package that reproduces the book's figures and contains most of the discussed algorithms is available.