Morphological Diversity and Sparsity for Multichannel Data Restoration
نویسندگان
چکیده
منابع مشابه
[hal-00813969, v1] Morphological Diversity and Sparsity for Multichannel Data Restoration
Over the last decade, overcomplete dictionaries and the very sparse signal representations they make possible, have raised an intense interest from signal processing theory. In a wide range of signal processing problems, sparsity has been a crucial property leading to high performance. As multichannel data are of growing interest, it seems essential to devise sparsity-based tools accounting for...
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ژورنال
عنوان ژورنال: Journal of Mathematical Imaging and Vision
سال: 2008
ISSN: 0924-9907,1573-7683
DOI: 10.1007/s10851-008-0065-6