Paper Title

A review on wavelet based analysis of fractal image compression

Authors

Bhagyashree Y.Chaudhari , Shubhangini Ugale

Keywords

coding, Wavelet transform, Image compression, Quadtree partition

Abstract

Image compression is an exertion of data compression that encodes the original image by few numbers of bits as possible while preserving the quality required for the given application. Areas diverse for image compression are Satellite imagery, Digital cameras, Wireless telephony, Modems, Storage and transmission of CT scan and MRI etc. Fractal coding is one of the promising techniques for image compression where the image is divided into sub-block. Fast fractal with wavelet is used to compress the input image. The objective of combining wavelet and fractal coding is to increase the encoding speed and high compression ratio. A wavelet is a mathematical function used to split a given function or continuous-time signal into various scale components. Fast fractal encoding, normalized cross correlation with mean square error (MSE) with matching criteria is given to only low frequency components using quadtree partition. Quadtree partition is used for formation of range and domain blocks which can increase coding efficiency in terms of image quality, compression ratio and encoding time.

How To Cite

"A review on wavelet based analysis of fractal image compression", IJSDR - International Journal of Scientific Development and Research (www.IJSDR.org), ISSN:2455-2631, Vol.2, Issue 3, page no.6 - 8, March-2017, Available :https://ijsdr.org/papers/IJSDR1703002.pdf

Issue

Volume 2 Issue 3, March-2017

Pages : 6 - 8

Other Publication Details

Paper Reg. ID: IJSDR_170059

Published Paper Id: IJSDR1703002

Downloads: 000347201

Research Area: Engineering

Country: Nagpur, Maharashtra, India

Published Paper PDF: https://ijsdr.org/papers/IJSDR1703002

Published Paper URL: https://ijsdr.org/viewpaperforall?paper=IJSDR1703002

About Publisher

ISSN: 2455-2631 | IMPACT FACTOR: 9.15 Calculated By Google Scholar | ESTD YEAR: 2016

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 9.15 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

Publisher: IJSDR(IJ Publication) Janvi Wave

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