Using Multi-Layer Percepton techniques for lossless multi-spectral satellite image compression

Registration ID: IJNRD_212474

Published ID: IJNRD2401230

DOI: Click Here to Get

Abhinav Jain , Ashish Kumar , Adarsh Kumar , Gyan Singh Yadav

Multilayer Perceptrons, hyperparameters, satellite, lossless, backpropagation, neural network, compression, Huffman,

This research investigates the utilization of Multilayer Perceptrons (MLPs) in image compression. We explore the efficacy of MLPs in reducing image file sizes while preserving visual quality. By training MLPs on diverse image datasets, we assess their compression performance across various configurations. Our findings reveal the potential of MLP-based image compression to revolutionize data storage and transmission in resource-constrained environments, offering a promising alternative to traditional compression algorithms. This study contributes to the development of neural network-based compression techniques and their practical applications in fields such as remote sensing, satellite imaging, and video streaming. Our methodology involves training MLPs on a diverse range of image datasets, varying network architectures, training strategies, and hyperparameters. We meticulously assess the trade-offs between compression ratios and image fidelity. By doing so, we aim to establish MLP-based image compression as a viable alternative to traditional methods.

Published Paper   E-Certificate

Abhinav Jain , Ashish Kumar, Adarsh Kumar, & Gyan Singh Yadav (January-2024). Using Multi-Layer Percepton techniques for lossless multi-spectral satellite image compression. INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT, 9(1), c236-c242. https://ijnrd.org/papers/IJNRD2401230.pdf

Volume 9 Issue 1, January-2024

Pages : c236-c242

Paper Reg. ID: IJNRD_212474

Published Paper Id: IJNRD2401230

Downloads: 000121983

Research Area: Engineering

Country: Kota, Rajasthan, India

Published Paper PDF: https://ijnrd.org/papers/IJNRD2401230.pdf

Published Paper URL: https://ijnrd.org/viewpaperforall?paper=IJNRD2401230

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 | IJNRD.ORG | IJNRD.COM | IJPUB.ORG

This work is licensed under a Creative Commons Attribution 4.0 International License and The Open Definition

Call For Paper - Volume 10 | Issue 10 | October 2025

IJNRD is a Scholarly Open Access, Peer-reviewed, and Refereed Journal with a High Impact Factor of 8.76 (calculated by Google Scholar & Semantic Scholar | AI-Powered Research Tool). It is a Multidisciplinary, Monthly, Low-Cost Journal that follows UGC CARE 2025 Peer-Reviewed Journal Policy norms, Scopus journal standards, and Transparent Peer Review practices to ensure quality and credibility. IJNRD provides indexing in all major databases & metadata repositories, a citation generator, and Digital Object Identifier (DOI) for every published article with full open-access visibility.

The INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT (IJNRD) aims to advance applied, theoretical, and experimental research across diverse fields. Its goal is to promote global scientific information exchange among researchers, developers, engineers, academicians, and practitioners. IJNRD serves as a platform where educators and professionals can share research evidence, models of best practice, and innovative ideas, contributing to academic growth and industry relevance.

Indexing Coverage includes Google Scholar, SSRN, ResearcherID-Publons, Semantic Scholar (AI-Powered Research Tool), Microsoft Academic, Academia.edu, arXiv.org, ResearchGate, CiteSeerX, ResearcherID (Thomson Reuters), Mendeley, DocStoc, ISSUU, Scribd, and many more recognized academic repositories.

How to submit the paper?

By Our website

Click Here to Submit Paper Online

By Mail

Send your paper to editor@ijnrd.org

Important Dates for Current issue

Paper Submission Open For: October 2025

Current Issue: Volume 10 | Issue 10 | October 2025

Impact Factor: 8.76

Last Date for Paper Submission: Till 31-Oct-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: IJNRD is an International Peer-reviewed, Refereed, and Open Access Journal with Transparent Peer Review as per the new UGC CARE 2025 guidelines, offering low-cost multidisciplinary publication with Crossref DOI and global indexing.

Subject Category: Research Area

Call for Paper: More Details