High Resolution Satellite Image Compression using DCT and EZW

4 Pages Posted: 10 Jun 2019

See all articles by Smriti Sehgal

Smriti Sehgal

Amity University Uttar Pradesh

Laxmi Ahuja

Amity University Uttar Pradesh

M. Hima Bindu

North Orissa University, Baripada, Odisha

Date Written: February 25, 2019

Abstract

Image Compression has played vital role for efficient image storage, retrieval and transmission. In today’s digital world, images are captured with high wavelength camera lens for better quality, but requires more storage space. Comparison is carried out on multi spectral satellite images using DCT and EZW on basis of compression ratio, PSNR and MSE. DCT performs efficiently at medium bit rates giving compression ratio over 99% and low PSNR whereas EZW performs well at low bit rate giving efficient compression ratio. Disadvantage with DCT is that only spatial correlation of the pixels is considered and the neighborhood correlation is neglected, on the other hand, use of larger EZW wavelet functions produced blurred images.

Keywords: DCT, EZW, LANDSAT image compression, Satellite Imaging

Suggested Citation

Sehgal, Smriti and Ahuja, Laxmi and Bindu, M. Hima, High Resolution Satellite Image Compression using DCT and EZW (February 25, 2019). Proceedings of International Conference on Sustainable Computing in Science, Technology and Management (SUSCOM), Amity University Rajasthan, Jaipur - India, February 26-28, 2019, Available at SSRN: https://ssrn.com/abstract=3350914 or http://dx.doi.org/10.2139/ssrn.3350914

Smriti Sehgal (Contact Author)

Amity University Uttar Pradesh ( email )

Mallhour
Lucknow, 226021
India

Laxmi Ahuja

Amity University Uttar Pradesh ( email )

Mallhour
Lucknow, 226021
India

M. Hima Bindu

North Orissa University, Baripada, Odisha ( email )

Baripada, Odisha
India

Do you have a job opening that you would like to promote on SSRN?

Paper statistics

Downloads
158
Abstract Views
1,110
Rank
474,889
PlumX Metrics