Paper Title

DEEP LEARNING BASED IMAGE SUPER RESOLUTION TO ENHANCE LOW QUALITY IMAGE

Article Identifiers

Registration ID: IJNRD_186600

Published ID: IJNRD2301295

DOI: Click Here to Get

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.

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. 

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

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Call For Paper

Call For Paper - Volume 10 | Issue 8 | August 2025

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.

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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

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Frequency: Monthly (12 issue Annually).

Journal Type: International Peer-reviewed, Refereed, and Open Access Journal.

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