Optimal decomposition level of discrete, stationary and dual tree complex wavelet transform for pixel based fusion of multi-focused images
The fast development of digital image processing leads to the growth of feature extraction of images which leads to the development of Image fusion. The process of combining two different images into a new single image by retaining salient features from each image with extended information content i...
Main Authors: | , , |
---|---|
Format: | Article |
Language: | English |
Published: |
Faculty of Technical Sciences in Cacak
2010-01-01
|
Series: | Serbian Journal of Electrical Engineering |
Subjects: | |
Online Access: | http://www.doiserbia.nb.rs/img/doi/1451-4869/2010/1451-48691001081K.pdf |
id |
doaj-acda48551680416bae5ee41494b0f86a |
---|---|
record_format |
Article |
spelling |
doaj-acda48551680416bae5ee41494b0f86a2020-11-24T23:32:27ZengFaculty of Technical Sciences in CacakSerbian Journal of Electrical Engineering1451-48692217-71832010-01-0171819310.2298/SJEE1001081K1451-48691001081KOptimal decomposition level of discrete, stationary and dual tree complex wavelet transform for pixel based fusion of multi-focused imagesKannan Kanagaraj0Perumal Arumuga Subramonian1Arulmozhi Kandasamy2Department of ECE, Kamaraj College of Engineering and Technology, SPGC Nagar, Virudhunagar, Tamilnadu, India%SR92-01.57Department of Computer Science, S.T. Hindu College, Nagarcoil, Tamilnadu, India%SR92-01.57Kamaraj College of Engineering and Technology, SPGC Nagar, Virudhunagar, Tamilnadu, India%SR92-01.57The fast development of digital image processing leads to the growth of feature extraction of images which leads to the development of Image fusion. The process of combining two different images into a new single image by retaining salient features from each image with extended information content is known as Image fusion. Two approaches to image fusion are Spatial Fusion and Transform fusion. Discrete Wavelet Transform plays a vital role in image fusion since it minimizes structural distortions among the various other transforms. Lack of shift invariance, poor directional selectivity and the absence of phase information are the drawbacks of Discrete Wavelet Transform. These drawbacks are overcome by Stationary Wavelet Transform and Dual Tree Complex Wavelet Transform. This paper describes the optimal decomposition level of Discrete, Stationary and Dual Tree Complex wavelet transform required for better pixel based fusion of multi focused images in terms of Root Mean Square Error, Peak Signal to Noise Ratio and Quality Index.http://www.doiserbia.nb.rs/img/doi/1451-4869/2010/1451-48691001081K.pdfimage fusiondiscrete wavelet transformstationary wavelet transform and dual tree complex wavelet transform |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Kannan Kanagaraj Perumal Arumuga Subramonian Arulmozhi Kandasamy |
spellingShingle |
Kannan Kanagaraj Perumal Arumuga Subramonian Arulmozhi Kandasamy Optimal decomposition level of discrete, stationary and dual tree complex wavelet transform for pixel based fusion of multi-focused images Serbian Journal of Electrical Engineering image fusion discrete wavelet transform stationary wavelet transform and dual tree complex wavelet transform |
author_facet |
Kannan Kanagaraj Perumal Arumuga Subramonian Arulmozhi Kandasamy |
author_sort |
Kannan Kanagaraj |
title |
Optimal decomposition level of discrete, stationary and dual tree complex wavelet transform for pixel based fusion of multi-focused images |
title_short |
Optimal decomposition level of discrete, stationary and dual tree complex wavelet transform for pixel based fusion of multi-focused images |
title_full |
Optimal decomposition level of discrete, stationary and dual tree complex wavelet transform for pixel based fusion of multi-focused images |
title_fullStr |
Optimal decomposition level of discrete, stationary and dual tree complex wavelet transform for pixel based fusion of multi-focused images |
title_full_unstemmed |
Optimal decomposition level of discrete, stationary and dual tree complex wavelet transform for pixel based fusion of multi-focused images |
title_sort |
optimal decomposition level of discrete, stationary and dual tree complex wavelet transform for pixel based fusion of multi-focused images |
publisher |
Faculty of Technical Sciences in Cacak |
series |
Serbian Journal of Electrical Engineering |
issn |
1451-4869 2217-7183 |
publishDate |
2010-01-01 |
description |
The fast development of digital image processing leads to the growth of feature extraction of images which leads to the development of Image fusion. The process of combining two different images into a new single image by retaining salient features from each image with extended information content is known as Image fusion. Two approaches to image fusion are Spatial Fusion and Transform fusion. Discrete Wavelet Transform plays a vital role in image fusion since it minimizes structural distortions among the various other transforms. Lack of shift invariance, poor directional selectivity and the absence of phase information are the drawbacks of Discrete Wavelet Transform. These drawbacks are overcome by Stationary Wavelet Transform and Dual Tree Complex Wavelet Transform. This paper describes the optimal decomposition level of Discrete, Stationary and Dual Tree Complex wavelet transform required for better pixel based fusion of multi focused images in terms of Root Mean Square Error, Peak Signal to Noise Ratio and Quality Index. |
topic |
image fusion discrete wavelet transform stationary wavelet transform and dual tree complex wavelet transform |
url |
http://www.doiserbia.nb.rs/img/doi/1451-4869/2010/1451-48691001081K.pdf |
work_keys_str_mv |
AT kannankanagaraj optimaldecompositionlevelofdiscretestationaryanddualtreecomplexwavelettransformforpixelbasedfusionofmultifocusedimages AT perumalarumugasubramonian optimaldecompositionlevelofdiscretestationaryanddualtreecomplexwavelettransformforpixelbasedfusionofmultifocusedimages AT arulmozhikandasamy optimaldecompositionlevelofdiscretestationaryanddualtreecomplexwavelettransformforpixelbasedfusionofmultifocusedimages |
_version_ |
1725534122392158208 |