Paper Title

Color image compression using DCT and DWT

Authors

Sarang Vinay Konlade , Prof. V.S Gangwani

Keywords

Abstract

This paper aims to study image compression , Both methods use cosine transform and wavelet transform to deduct a portion of the information in the image that can endure losing it without a significant disturbance in the image itself , as we know cameras are now a day’s being provided with more and more megapixels to improve the quality of captured images. With improvement in image quality, size of the image file also increases. Due to speed limitation of the Internet, it takes more time to upload good-quality images that are of bigger sizes. A user needs to compress the image without degrading its quality. Mobile manufacturers need algorithms in their cameras that enable storing the images in reduced sizes without degrading their quality. In proposed system, a comparative study has been carried out on image compression using DCT (Discrete Cosine Transform) and DWT (Discrete Wavelet Transform). A comparison is outlined to emphasize the results of this compression system between DCT and DWT using JPEG (Joint Photographic Experts Group) and PNG (Portable Network Graphics) color images. DWT algorithm and DCT algorithm are much better algorithms in terms of compression, A user needs to compress the image without degrading its quality

How To Cite

"Color image compression using DCT and DWT", IJSDR - International Journal of Scientific Development and Research (www.IJSDR.org), ISSN:2455-2631, Vol.2, Issue 6, page no.258 - 263, June-2017, Available :https://ijsdr.org/papers/IJSDR1706035.pdf

Issue

Volume 2 Issue 6, June-2017

Pages : 258 - 263

Other Publication Details

Paper Reg. ID: IJSDR_170523

Published Paper Id: IJSDR1706035

Downloads: 000347195

Research Area: Engineering

Country: Amravati, Maharashtra, India

Published Paper PDF: https://ijsdr.org/papers/IJSDR1706035

Published Paper URL: https://ijsdr.org/viewpaperforall?paper=IJSDR1706035

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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