Paper Title
Image Compression Using 2-D Walsh Wavelet Transform
Article Identifiers
Authors
SHARMAJI , HARIOM TYAGI
Keywords
WAVELET
Abstract
— Image Compression is a science that is concerned with the reduction of the number of bits required to store, transmit and reconstruct the images without any loss of information. Though various transforms are used in the field of image compression. like EZW, SPIHT and EBCOT. In this research, Walsh wavelet transform are used to perform the transform of a test image. Experimental results show that the image quality is almost same when CRF is in small amount. We can calculate the size of compressed image and decompressed image with how much time it takes in compression as well as decompression.
Downloads
How To Cite (APA)
SHARMAJI & HARIOM TYAGI (February-2018). Image Compression Using 2-D Walsh Wavelet Transform. INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT, 3(2), 29-32. https://ijnrd.org/papers/IJNRD1802007.pdf
Issue
Volume 3 Issue 2, February-2018
Pages : 29-32
Other Publication Details
Paper Reg. ID: IJNRD_180014
Published Paper Id: IJNRD1802007
Downloads: 000121991
Research Area: Engineering
Country: GHAZIABAD, UTTAR PRADESH, India
Published Paper PDF: https://ijnrd.org/papers/IJNRD1802007.pdf
Published Paper URL: https://ijnrd.org/viewpaperforall?paper=IJNRD1802007
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 | IJNRD.ORG | IJNRD.COM | IJPUB.ORG
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 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
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
