NDLI: A Sparse Coding Based Approach for the Resolution Enhancement and Restoration of Printed and Handwritten Textual Images

Content Provider	IEEE Xplore Digital Library
Author	Walha, R. Drira, F. Alimi, A.M. Lebourgeois, F. Garcia, C.
Copyright Year	2014
Description	Author affiliation: REGIM-Lab.: Res. Groups in Intell. Machines, Univ. of Sfax, Sfax, Tunisia (Walha, R.; Drira, F.; Alimi, A.M.) \|\| INSA-Lyon, Univ. of Lyon, Lyon, France (Lebourgeois, F.; Garcia, C.)
Abstract	Sparse coding has shown to be an effective technique in solving various reconstruction tasks such as denoising, in painting, and resolution enhancement of natural images. In this paper, we explore the use of this technique specifically to deal with low-resolution and degraded textual images. Firstly, we propose a sparse coding based resolution enhancement approach to recover a textual image with higher resolution than the input low-resolution one. It is based on the use of multiple coupled dictionaries which are learned from a clustered training low-resolution/high-resolution patch-pair database. A reconstruction scheme is then suggested in order to adaptively select the appropriate dictionaries that are useful for better recovering each local patch. This approach can be applied for the magnification of both printed and handwritten characters. Secondly, we propose to integrate the magnification in a restoration framework specifically to denoise and reconstruct at the same time degraded characters. The performances of these propositions are evaluated on various types of degraded printed and handwritten textual images where loss of details and background noise exist. Promising results are achieved when compared with results of other existing approaches.
Starting Page	696
Ending Page	701
File Size	318373
Page Count	6
File Format	PDF
ISBN	9781479943357
ISSN	21676445
e-ISBN	9781479943340
DOI	10.1109/ICFHR.2014.122
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2014-09-01
Publisher Place	Greece
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Image resolution Image reconstruction Dictionaries Image restoration Interpolation Image coding Image edge detection image restoration Resolution enhancement sparse coding printed and handwritten textual image
Content Type	Text
Resource Type	Article

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