Journal of Computer Science

Slantlet Transform for Multispectral Image Fusion

Adnan Hadi M. Al-Helali, Hamza A. Ali, Buthainah Al-Dulaimi, Dhia Alzubaydi and Walid A. Mahmmoud

DOI : 10.3844/jcssp.2009.263.269

Journal of Computer Science

Volume 5, Issue 4

Pages 263-269

Abstract

Problem statement: Image fusion is a process by which multispectral and panchromatic images, or some of their features, are combined together to form a high spatial/high spectral resolutions image. The successful fusion of images acquired from different modalities or instruments is a great importance issue in remote sensing applications. Approach: A new method of image fusion was introduced. It was based on a hybrid transform, which is an extension of Ridgelet transform. It used the slantlet transform instead of wavelet transform in the final steps of Ridgelet transform. The slantlet transform was an orthogonal discrete wavelet transform with two zero moments and with improved time localization. Results: Since edges and noise played fundamental role in image understanding, this hybrid transform was proved to be good way to enhance the edges and reduce the noise. Conclusion: The proposed method of fusion presented richer information in spatial and spectral domains simultaneously as well as it had reached an optimum fusion result.

Copyright

© 2009 Adnan Hadi M. Al-Helali, Hamza A. Ali, Buthainah Al-Dulaimi, Dhia Alzubaydi and Walid A. Mahmmoud. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.