Research Article
Image Compression using CDF5/3 Wavelet Transform Coupled with Bit Plane Algorithm
|
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
|
| Volume 104 - Issue 8 |
| Published: October 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 },
year = { 2014 },
volume = { 104 },
number = { 8 },
pages = { 15-20 },
doi = { 10.5120/18222-9352 },
publisher = { Foundation of Computer Science (FCS), NY, USA }
}
%0 Journal Article
%D 2014
%A Anurodh Kumar
%A Rajeevthakur
%A Lalit Jain
%T Image Compression using CDF5/3 Wavelet Transform Coupled with Bit Plane Algorithm%T
%J International Journal of Computer Applications
%V 104
%N 8
%P 15-20
%R 10.5120/18222-9352
%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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