IJRTI
International Journal for Research Trends and Innovation
International Peer Reviewed & Refereed Journals, Open Access Journal
ISSN Approved Journal No: 2456-3315 | Impact factor: 8.14 | ESTD Year: 2016
Scholarly open access journals, Peer-reviewed, and Refereed Journals, Impact factor 8.14 (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 : 8.14

Issue per Year : 12

Volume Published : 9

Issue Published : 93

Article Submitted : 9866

Article Published : 5018

Total Authors : 13224

Total Reviewer : 557

Total Countries : 93

Indexing Partner

Licence

This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License
Published Paper Details
Paper Title: Image Compression on Heterogeneous Images Using Convolutional Neural Networks
Authors Name: Anix Jugal D'Cunha , Sushant Mangasuli , Afrah Saleem , Vaibhavi Sahukar , Akshatha Sagar
Download E-Certificate: Download
Author Reg. ID:
IJRTI_181326
Published Paper Id: IJRTI2008010
Published In: Volume 5 Issue 8, August-2020
DOI:
Abstract: Abstract— Data compression has always been a key concern during transmission. Interests on image processing has been increased enormously from last decades. As a result different compression techniques has been introduced and purposed. Lossy image compression algorithms are used widely where some information gets lost during compression resulting high compression. However, we pay for their high compression rate with visual artifacts degrading the user experience. Deep convolutional neural networks (CNN) have become a widely used tool to address computer vision tasks very successfully.
Keywords: Image Compression, Heterogeneous Images, Convolutional Neural Networks, CNN
Cite Article: "Image Compression on Heterogeneous Images Using Convolutional Neural Networks", International Journal of Science & Engineering Development Research (www.ijrti.org), ISSN:2455-2631, Vol.5, Issue 8, page no.57 - 63, August-2020, Available :http://www.ijrti.org/papers/IJRTI2008010.pdf
Downloads: 000202630
ISSN: 2456-3315 | IMPACT FACTOR: 8.14 Calculated By Google Scholar| ESTD YEAR: 2016
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.14 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: IJRTI2008010
Registration ID:181326
Published In: Volume 5 Issue 8, August-2020
DOI (Digital Object Identifier):
Page No: 57 - 63
Country: MADIKERI, KARNATAKA, India
Research Area: Engineering
Publisher : IJ Publication
Published Paper URL : https://www.ijrti.org/viewpaperforall?paper=IJRTI2008010
Published Paper PDF: https://www.ijrti.org/papers/IJRTI2008010
Share Article:

Click Here to Download This Article

Article Preview
Click Here to Download This Article

Major Indexing from www.ijrti.org
Google Scholar ResearcherID Thomson Reuters Mendeley : reference manager Academia.edu
arXiv.org : cornell university library Research Gate CiteSeerX DOAJ : Directory of Open Access Journals
DRJI Index Copernicus International Scribd DocStoc

ISSN Details

ISSN: 2456-3315
Impact Factor: 8.14 and ISSN APPROVED
Journal Starting Year (ESTD) : 2016

DOI (A digital object identifier)


Providing A digital object identifier by DOI.ONE
How to Get 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

Join RMS/Earn 300

IJRTI

Indexing Partner