IJNRD Research Journal

WhatsApp
Click Here

WhatsApp editor@ijnrd.org
IJNRD
INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT
International Peer Reviewed & Refereed Journals, Open Access Journal
ISSN Approved Journal No: 2456-4184 | Impact factor: 8.76 | ESTD Year: 2016
Scholarly open access journals, Peer-reviewed, and Refereed Journals, Impact factor 8.76 (Calculate by google scholar and Semantic Scholar | AI-Powered Research Tool) , Multidisciplinary, Monthly, Indexing in all major database & Metadata, Citation Generator, Digital Object Identifier(DOI)

Call For Paper

For Authors

Forms / Download

Published Issue Details

Editorial Board

Other IMP Links

Facts & Figure

Impact Factor : 8.76

Issue per Year : 12

Volume Published : 9

Issue Published : 95

Article Submitted :

Article Published :

Total Authors :

Total Reviewer :

Total Countries :

Indexing Partner

Join RMS/Earn 300

Licence

This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License
Published Paper Details
Paper Title: DEEP LEARNING BASED IMAGE SUPER RESOLUTION TO ENHANCE LOW QUALITY IMAGE
Authors Name: Dr. V.Vijayakumar, M.Tech,Ph.D , S.kaviya , P.keerthana
Download E-Certificate: Download
Author Reg. ID:
IJNRD_186600
Published Paper Id: IJNRD2301295
Published In: Volume 8 Issue 1, January-2023
DOI:
Abstract: Images of high decision and coffee quality create extensive problems in fixing the troubles of visible reputation of items for commentary and navigation necessary for diverse navy and civil functions. The noise ratio (SNR) and root imply square blunders (MSE) of decision pics have improved substantially because of latest traits in deep getting to know strategies together with EDSR and VDSR. However, there might not be an immediate courting between those pixel-domain signal quality measures and machine imaginative and prescient tasks which include object popularity and landmark detection. . Beyond the technical solution that complements gradient photographs and associated functions from low resolution photos for the gain of high system imaginative and prescient is the focal point of this work. A answer for ultra- excessive decision gradient imaging is advanced right here. The simulation outcomes display overall performance profits in terms of factor repeatability and gradient picture fine.
Keywords: Single image super-resolution, deep learning, neural networks, objective function
Cite Article: "DEEP LEARNING BASED IMAGE SUPER RESOLUTION TO ENHANCE LOW QUALITY IMAGE", International Journal of Novel Research and Development (www.ijnrd.org), ISSN:2456-4184, Vol.8, Issue 1, page no.c744-c751, January-2023, Available :http://www.ijnrd.org/papers/IJNRD2301295.pdf
Downloads: 000118752
ISSN: 2456-4184 | IMPACT FACTOR: 8.76 Calculated By Google Scholar| ESTD YEAR: 2016
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.76 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator
Publication Details: Published Paper ID:IJNRD2301295
Registration ID: 186600
Published In: Volume 8 Issue 1, January-2023
DOI (Digital Object Identifier):
Page No: c744-c751
Country: Chennai, Tamilnadu, India
Research Area: Electronics & Communication Engg. 
Publisher : IJ Publication
Published Paper URL : https://www.ijnrd.org/viewpaperforall?paper=IJNRD2301295
Published Paper PDF: https://www.ijnrd.org/papers/IJNRD2301295
Share Article:
Share

Click Here to Download This Article

Article Preview
Click Here to Download This Article

Major Indexing from www.ijnrd.org
Semantic Scholar Microsaoft Academic ORCID Zenodo
Google Scholar ResearcherID Thomson Reuters Mendeley : reference manager Academia.edu
arXiv.org : cornell university library Research Gate CiteSeerX PUBLON
DRJI SSRN Scribd DocStoc

ISSN Details

ISSN: 2456-4184
Impact Factor: 8.76 and ISSN APPROVED
Journal Starting Year (ESTD) : 2016

DOI (A digital object identifier)


Providing A digital object identifier by DOI
How to Get DOI? DOI

Conference

Open Access License Policy

This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License

Creative Commons License This material is Open Knowledge This material is Open Data This material is Open Content

Important Details

Social Media

Licence

This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License

Join RMS/Earn 300

IJNRD