Steerable Principal Components for Space-Frequency Localized Images
نویسندگان
چکیده
منابع مشابه
Steerable Principal Components for Space-Frequency Localized Images
As modern scientific image datasets typically consist of a large number of images of high resolution, devising methods for their accurate and efficient processing is a central research task. In this paper, we consider the problem of obtaining the steerable principal components of a dataset, a procedure termed "steerable PCA" (steerable principal component analysis). The output of the procedure ...
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ژورنال
عنوان ژورنال: SIAM Journal on Imaging Sciences
سال: 2017
ISSN: 1936-4954
DOI: 10.1137/16m1085334