Wavelet packet transform based fusion of misaligned images

Title

Wavelet packet transform based fusion of misaligned images

Creator

Sreekala K.; Kuncheria R.P.

Description

This paper proposes an image fusion method based on wavelet packet transform (WPT) for images with misaligned region of interest, which finds wide application in target recognition and feature extraction. The region of interest of the images are first aligned and then fused in the transform domain. The various no-reference parameters such as standard deviation (SD), spatial frequency (SF) are measured for the fused image. The result obtained from this method is compared with the other methods such as image fusion using discrete wavelet transform (DWT), stationary wavelet transform and guided filtering. It is evident from the simulation results that the two parameters are high for the fused image using wavelet packet transform. 2016 IEEE.

Source

Proceedings of IEEE International Conference on Circuit, Power and Computing Technologies, ICCPCT 2016

Date

2016-01-01

Publisher

Institute of Electrical and Electronics Engineers Inc.

Subject

image fusion; region of interest (ROI); spatial frequency (SF); standard deviation (SD); Wavelet packet transform (WPT)

Coverage

Sreekala K., Christ University, Faculty of Engineering, Department of Electronics and Communication Engineering, Kanminike, Mysore Road, Bangalore, 560060, India; Kuncheria R.P., Christ University, Faculty of Engineering, Department of Electronics and Communication Engineering, Kanminike, Mysore Road, Bangalore, 560060, India

Rights

Restricted Access

Relation

ISBN: 978-150901277-0

Format

Online

Language

English

Type

Conference paper

Identifier

https://doi.org/10.1109/ICCPCT.2016.7530190

https://www.scopus.com/inward/record.uri?eid=2-s2.0-84992061033&doi=10.1109%2fICCPCT.2016.7530190&partnerID=40&md5=0f79575101b203ba37571952f28c08a5