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Image Compression using CDF5/3 Wavelet Transform Coupled with Bit Plane Algorithm

by Anurodh Kumar, Rajeevthakur, Lalit Jain
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 104 - Number 8
Year of Publication: 2014
Authors: Anurodh Kumar, Rajeevthakur, Lalit Jain
10.5120/18222-9352

Anurodh Kumar, Rajeevthakur, Lalit Jain . Image Compression using CDF5/3 Wavelet Transform Coupled with Bit Plane Algorithm. International Journal of Computer Applications. 104, 8 ( October 2014), 15-20. DOI=10.5120/18222-9352

@article{ 10.5120/18222-9352,
author = { Anurodh Kumar, Rajeevthakur, Lalit Jain },
title = { Image Compression using CDF5/3 Wavelet Transform Coupled with Bit Plane Algorithm },
journal = { International Journal of Computer Applications },
issue_date = { October 2014 },
volume = { 104 },
number = { 8 },
month = { October },
year = { 2014 },
issn = { 0975-8887 },
pages = { 15-20 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume104/number8/18222-9352/ },
doi = { 10.5120/18222-9352 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T22:35:37.257160+05:30
%A Anurodh Kumar
%A Rajeevthakur
%A Lalit Jain
%T Image Compression using CDF5/3 Wavelet Transform Coupled with Bit Plane Algorithm
%J International Journal of Computer Applications
%@ 0975-8887
%V 104
%N 8
%P 15-20
%D 2014
%I Foundation of Computer Science (FCS), NY, USA
Abstract

The near future of image processing techniques state the compatibility issues of applied algorithms with storage techniques and data transmission across noisy environment. Image compression is a vital element that is employed due to its characteristics of image size reduction without considerable data loss. This paper employs an SAR image compression technique based on CDF 5/3 in unison with bit plane algorithm. The CDF 5/3 encodes the real images converted by fast Fourier transform (FFT). The performance analysis is observed by changing in BPP (Bit per pixel) for a given image and based on varying BPP peak signal-to-noise ratio (PSNR) and (Mean square Error) MSE.

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Index Terms

Computer Science
Information Sciences

Keywords

Cohen Daubechies and Feauveau (CDF) Peak signal to noise ration(PSNR) Mean square error(MSE).

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