|
Abstract
|
Article Information:
Comparison of Wavelet Filters in Image Coding and Denoising using Embedded Zerotree Wavelet Algorithm
V. Elamaran, K. Narasimhan, G. Shiva and P.V.M. Vijayabhaskar
Corresponding Author: V. Elamaran
Submitted: March 18, 2012
Accepted: April 13, 2012
Published: December 15, 2012 |
Abstract:
|
In this study, we present Embedded Zerotree Wavelet (EZW) algorithm to compress the image using
different wavelet filters such as Biorthogonal, Coiflets, Daubechies, Symlets and Reverse Biorthogonal and to
remove noise by setting appropriate threshold value while decoding. Compression methods are important in
telemedicine applications by reducing number of bits per pixel to adequately represent the image. Data storage
requirements are reduced and transmission efficiency is improved because of compressing the image. The EZW
algorithm is an effective and computationally efficient technique in image coding. Obtaining the best image
quality for a given bit rate and accomplishing this task in an embedded fashion are the two problems addressed
by the EZW algorithm. A technique to decompose the image using wavelets has gained a great deal of
popularity in recent years. Apart from very good compression performance, EZW algorithm has the property
that the bitstream can be truncated at any point and still be decoded with a good quality image. All the standard
wavelet filters are used and the results are compared with different thresholds in the encoding section. Bit rate
versus PSNR simulation results are obtained for the image 256x256 barbara with different wavelet filters. It
shows that the computational overhead involved with Daubechies wavelet filters but are produced better results.
Like even missing details i.e., higher frequency components are picked by them which are missed by other
family of wavelet filters.
Key words: Embedded coding, image compression, subband coding, wavelet transform, , ,
|
|
Abstract
|
PDF
|
HTML |
|
Cite this Reference:
V. Elamaran, K. Narasimhan, G. Shiva and P.V.M. Vijayabhaskar, . Comparison of Wavelet Filters in Image Coding and Denoising using Embedded Zerotree Wavelet Algorithm. Research Journal of Applied Sciences, Engineering and Technology, (24): 5449-5452.
|
|
|
|
 |
ISSN (Online): 2040-7467
ISSN (Print): 2040-7459 |
 |
| Information |
|
|
|
|
| Sales & Services |
|
|
|
|
