Visual data denoising with a unified Schatten- p norm and ℓ q norm regularized principal component pursuit
نویسندگان
چکیده
منابع مشابه
Visual Processing by a Unified Schatten-p Norm and ℓq Norm Regularized Principal Component Pursuit
In this paper, we propose a non-convex formulation to recover the authentic structure from the corrupted real data. Typically, the specific structure is assumed to be low rank, which holds for a wide range of data, such as images and videos. Meanwhile, the corruption is assumed to be sparse. In the literature, such a problem is known as Robust Principal Component Analysis (RPCA), which usually ...
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ژورنال
عنوان ژورنال: Pattern Recognition
سال: 2015
ISSN: 0031-3203
DOI: 10.1016/j.patcog.2015.01.024