Paper Title
DEEP LEARNING BASED IMAGE SUPER RESOLUTION TO ENHANCE LOW QUALITY IMAGE
Article Identifiers
Authors
Dr. V.Vijayakumar, M.Tech,Ph.D , S.kaviya , P.keerthana
Keywords
Single image super-resolution, deep learning, neural networks, objective function
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.
Downloads
How To Cite
"DEEP LEARNING BASED IMAGE SUPER RESOLUTION TO ENHANCE LOW QUALITY IMAGE", IJNRD - INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT (www.IJNRD.org), ISSN:2456-4184, Vol.8, Issue 1, page no.c744-c751, January-2023, Available :https://ijnrd.org/papers/IJNRD2301295.pdf
Issue
Volume 8 Issue 1, January-2023
Pages : c744-c751
Other Publication Details
Paper Reg. ID: IJNRD_186600
Published Paper Id: IJNRD2301295
Downloads: 000121111
Research Area: Electronics & Communication Engg.Â
Country: Chennai, Tamilnadu, India
Published Paper PDF: https://ijnrd.org/papers/IJNRD2301295.pdf
Published Paper URL: https://ijnrd.org/viewpaperforall?paper=IJNRD2301295
About Publisher
Journal Name: INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT(IJNRD)
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
Publisher: IJNRD (IJ Publication) Janvi Wave
Licence
This work is licensed under a Creative Commons Attribution 4.0 International License and The Open Definition


Publication Timeline
Article Preview: View Full Paper
Call For Paper
IJNRD is Scholarly open access journals, Peer-reviewed, and Refereed Journals, High 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) with Open-Access Publications.
INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT (IJNRD) aims to explore advances in research pertaining to applied, theoretical and experimental Technological studies. The goal is to promote scientific information interchange between researchers, developers, engineers, students, and practitioners working in and around the world. IJNRD will provide an opportunity for practitioners and educators of engineering field to exchange research evidence, models of best practice and innovative ideas.
Indexing In Google Scholar, SSRN, ResearcherID-Publons, Semantic Scholar | AI-Powered Research Tool, Microsoft Academic, Academia.edu, arXiv.org, Research Gate, CiteSeerX, ResearcherID Thomson Reuters, Mendeley : reference manager, DocStoc, ISSUU, Scribd, and many more
How to submit the paper?
By Our website
Click Here to Submit Paper Online
Important Dates for Current issue
Paper Submission Open For: August 2025
Current Issue: Volume 10 | Issue 8
Last Date for Paper Submission: Till 31-Aug-2025
Notification of Review Result: Within 1-2 Days after Submitting paper.
Publication of Paper: Within 01-02 Days after Submititng documents.
Frequency: Monthly (12 issue Annually).
Journal Type: International Peer-reviewed, Refereed, and Open Access Journal.
Subject Category: Research Area