DSD: document sparse-based denoising algorithm
ISSN
14337541
Năm xuất bản
2019
Tác giả
Department Informatics, Faculty of Mathematics Mechanics Informatics, VNU University of Science, Hanoi, Viet Nam
Ramos Terrades O.
Computer Vision Center, Computer Science Department, Engineering School, Universitat Autònoma de Barcelona, Bellaterra, 08193, Catalonia, Spain
Tabbone S.
LORIA - UMR 7503, Université de Lorraine, Campus Scientifique, BP 239, Vandoeuvre-lès-Nancy, 54506, France
DOI
10.1007/s10044-018-0714-3
Tóm tắt
In this paper, we present a sparse-based denoising algorithm for scanned documents. This method can be applied to any kind of scanned documents with satisfactory results. Unlike other approaches, the proposed approach encodes noise documents through sparse representation and visual dictionary learning techniques without any prior noise model. Moreover, we propose a precision parameter estimator. Experiments on several datasets demonstrate the robustness of the proposed approach compared to the state-of-the-art methods on document denoising. © 2018, Springer-Verlag London Ltd., part of Springer Nature.