NDLI: Resolution enhancement of textual images: a survey of single image-based methods

Content Provider	IET Digital Library
Author	Walha, Rim Drira, Fadoua Lebourgeois, Frank Alimi, Adel M. Garcia, Christophe
Abstract	Super-resolution (SR) task has become an important research area due to the rapidly growing interest for high quality images in various computer vision and pattern recognition applications. This has led to the emergence of various SR approaches. According to the number of input images, two kinds of approaches could be distinguished: single or multi-input based approaches. Certainly, processing multiple inputs could lead to an interesting output, but this is not the case mainly for textual image processing. This study focuses on single image-based approaches. Most of the existing methods have been successfully applied on natural images. Nevertheless, their direct application on textual images is not enough efficient due to the specificities that distinguish these particular images from natural images. Therefore, SR approaches especially suited for textual images are proposed in the literature. Previous overviews of SR methods have been concentrated on natural images application with no real application on the textual ones. Thus, this study aims to tackle this lack by surveying methods that are mainly designed for enhancing low-resolution textual images. The authors further criticise these methods and discuss areas which promise improvements in such task. To the best of the authors’ knowledge, this survey is the first investigation in the literature.
Starting Page	325
Ending Page	337
Page Count	13
ISSN	17519659
Volume Number	10
e-ISSN	17519667
Issue Number	Issue 4, Apr (2016)
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/iet-ipr/10/4
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/10.1049/iet-ipr.2015.0334
Journal	IET Image Processing
Publisher Date	2016-04-01
Access Restriction	Open
Rights Holder	© The Institution of Engineering and Technology
Subject Keyword	Computer Vision Computer Vision And Image Processing Technique Image Enhancement Image Recognition Image Resolution Image Texture Multiinput Based Approach Pattern Recognition Application Single Image-based Method Single-input Based Approach Super-resolution Approach Surveying Method Textual Image Processing Textual Image Resolution Enhancement
Content Type	Text
Resource Type	Article
Subject	Signal Processing Electrical and Electronic Engineering Computer Vision and Pattern Recognition Software

Sl.	Authority	Responsibilities	Communication Details
1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
6	Contents and Copyright Issues	Queries related to content curation and copyright issues	content@ndl.gov.in
7	National Digital Library of India Club (NDLI Club)	Queries related to NDLI Club formation, support, user awareness program, seminar/symposium, collaboration, social media, promotion, and outreach	clubsupport@ndl.gov.in
8	Digital Preservation Centre (DPC)	Assistance with digitizing and archiving copyright-free printed books	dpc@ndl.gov.in
9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in

Survey of single image super-resolution reconstruction

Novel image restoration method based on multi-frame super-resolution for atmospherically distorted images

A new low-complexity patch-based image super-resolution

Single image super-resolution using self-examples and texture synthesis

Survey on GAN-based face hallucination with its model development

Iris super-resolution using CNNs: is photo-realism important to iris recognition?

Generative adversarial image super-resolution network for multiple degradations

Texture and edge preserving multiframe super-resolution

Resolution enhancement of textual images via multiple coupled dictionaries and adaptive sparse representation selection

Resolution enhancement of textual images: a survey of single image-based methods

Similar Documents

Survey of single image super-resolution reconstruction

Novel image restoration method based on multi-frame super-resolution for atmospherically distorted images

A new low-complexity patch-based image super-resolution

Single image super-resolution using self-examples and texture synthesis

Survey on GAN-based face hallucination with its model development

Iris super-resolution using CNNs: is photo-realism important to iris recognition?

Generative adversarial image super-resolution network for multiple degradations

Texture and edge preserving multiframe super-resolution

Resolution enhancement of textual images via multiple coupled dictionaries and adaptive sparse representation selection

Resolution enhancement of textual images: a survey of single image-based methods