A combined fractal and wavelet image compression approach

Bhagyashree Y Chaudhari; Shubhangini Ugale

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ISSN2456-3315

Impact Factor10.57

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ESTD2016

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Paper Title

A combined fractal and wavelet image compression approach

Authors

Bhagyashree Y Chaudhari , Shubhangini Ugale

Keywords

Image compression, Quadtree partition, Fractal coding, Wavelet transform , Quality measures. __________________________________________________________________________________________

Abstract

In this paper, a combined Fractal and Wavelet (CFW) compression algorithm targeting gray scaled images is proposed. Initially, the image is compressed using wavelet transform. The smoothness of the low frequency part of the image appears as an approximation image with higher self similarities; therefore, it is coded using a fractal wavelet coding technique. However, the image is coded and psnr and mse, time for decompression is calculated. Its performance is compared by compression timing of image with wavelet and without wavelet with best performances of the available published algorithms. A data set containing different images is used to study the performance of the algorithm.

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How To Cite

"A combined fractal and wavelet image compression approach", IJRTI - International Journal for Research Trends and Innovation (www.IJRTI.org), ISSN:2456-3315, Vol.2, Issue 7, page no.7 - 11, June-2017, Available :https://ijrti.org/papers/IJRTI1707002.pdf

Issue

Volume 2 Issue 7, June-2017

Pages : 7 - 11

Other Publication Details

Paper Reg. ID: IJRTI_170398

Published Paper Id: IJRTI1707002

Downloads: 205,612

Research Area: Engineering

Country: Nagpur, Maharashtra, India

Published Paper PDF: https://ijrti.org/papers/IJRTI1707002

Published Paper URL: https://ijrti.org/viewpaperforall?paper=IJRTI1707002

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ISSN: 2456-3315 | IMPACT FACTOR: 10.57 Calculated By Google Scholar | ESTD YEAR: 2016

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 10.57 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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© 2017 — Authors hold the copyright of this article. This work is licensed under a Creative Commons Attribution 4.0 International License and The Open Definition. This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (CC BY 4.0), which permits unrestricted use, distribution and reproduction in any medium, provided the original author and source are credited.

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