Please wait, while we are loading the content...
Please wait, while we are loading the content...
Content Provider | IET Digital Library |
---|---|
Author | Mokari, Azade Ahmadyfard, Alireza |
Abstract | In this study, the authors propose a fast method for single image super-resolution (SR). The relation between high-resolution (HR)/low-resolution (LR) patches is learned using the input image and a down-sampled version. They divide the input image into a number of equal blocks. For each image block, a pair of HR/LR dictionaries, using informative patches, are constructed. For each patch in the input image, an HR dictionary is constructed by concatenating the HR dictionary which it belongs and the HR dictionaries of eight neighbouring blocks. In the same manner, an LR dictionary for each patch is constructed. They represent each patch from the input image using a linear combination of atoms in its LR dictionary. Then, using the same combination for atoms in the HR dictionary of patch, the SR version for the patch is constructed. The computational complexity of the proposed method is considerably low because, in contrast to most of the existing methods, no learning phase, for building the dictionaries of a patch, is required. The experimental results of the proposed method is significantly faster than existing methods, whereas the performance in terms of peak signal-to-noise ratio and structural similarity criterions is comparable with the existing methods. |
Starting Page | 135 |
Ending Page | 144 |
Page Count | 10 |
ISSN | 17519659 |
Volume Number | 11 |
e-ISSN | 17519667 |
Issue Number | Issue 2, Feb (2017) |
Alternate Webpage(s) | https://digital-library.theiet.org/content/journals/iet-ipr/11/2 |
Alternate Webpage(s) | https://digital-library.theiet.org/content/journals/10.1049/iet-ipr.2016.0422 |
Journal | IET Image Processing |
Publisher Date | 2016-10-21 |
Access Restriction | Open |
Rights Holder | © The Institution of Engineering and Technology |
Subject Keyword | Computational Complexity Computer Vision And Image Processing Technique Dictionary Learning Fast Single Image SR Method Fast Single Image Super-resolution Method High-resolution Patches HR Dictionary Image Block Image Resolution Informative Patches Knowledge Engineering Technique Learning in AI Low-resolution Patches LR Dictionary Neighbouring Blocks Optical, Image And Video Signal Processing Peak Signal-to-noise Ratio Criterion Structural Similarity Criterion |
Content Type | Text |
Resource Type | Article |
Subject | Signal Processing Electrical and Electronic Engineering Computer Vision and Pattern Recognition Software |
National Digital Library of India (NDLI) is a virtual repository of learning resources which is not just a repository with search/browse facilities but provides a host of services for the learner community. It is sponsored and mentored by Ministry of Education, Government of India, through its National Mission on Education through Information and Communication Technology (NMEICT). Filtered and federated searching is employed to facilitate focused searching so that learners can find the right resource with least effort and in minimum time. NDLI provides user group-specific services such as Examination Preparatory for School and College students and job aspirants. Services for Researchers and general learners are also provided. NDLI is designed to hold content of any language and provides interface support for 10 most widely used Indian languages. It is built to provide support for all academic levels including researchers and life-long learners, all disciplines, all popular forms of access devices and differently-abled learners. It is designed to enable people to learn and prepare from best practices from all over the world and to facilitate researchers to perform inter-linked exploration from multiple sources. It is developed, operated and maintained from Indian Institute of Technology Kharagpur.
Learn more about this project from here.
NDLI is a conglomeration of freely available or institutionally contributed or donated or publisher managed contents. Almost all these contents are hosted and accessed from respective sources. The responsibility for authenticity, relevance, completeness, accuracy, reliability and suitability of these contents rests with the respective organization and NDLI has no responsibility or liability for these. Every effort is made to keep the NDLI portal up and running smoothly unless there are some unavoidable technical issues.
Ministry of Education, through its National Mission on Education through Information and Communication Technology (NMEICT), has sponsored and funded the National Digital Library of India (NDLI) project.
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 |
Loading...
|