CFP last date
20 December 2024
Reseach Article

Satellite Image Fusion Technique using Integration of IHS Transform and Contrast based Wavelet Packets

by G. Dheepa, S. Sukumaran
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 107 - Number 9
Year of Publication: 2014
Authors: G. Dheepa, S. Sukumaran
10.5120/18782-0107

G. Dheepa, S. Sukumaran . Satellite Image Fusion Technique using Integration of IHS Transform and Contrast based Wavelet Packets. International Journal of Computer Applications. 107, 9 ( December 2014), 37-43. DOI=10.5120/18782-0107

@article{ 10.5120/18782-0107,
author = { G. Dheepa, S. Sukumaran },
title = { Satellite Image Fusion Technique using Integration of IHS Transform and Contrast based Wavelet Packets },
journal = { International Journal of Computer Applications },
issue_date = { December 2014 },
volume = { 107 },
number = { 9 },
month = { December },
year = { 2014 },
issn = { 0975-8887 },
pages = { 37-43 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume107/number9/18782-0107/ },
doi = { 10.5120/18782-0107 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T22:40:38.972977+05:30
%A G. Dheepa
%A S. Sukumaran
%T Satellite Image Fusion Technique using Integration of IHS Transform and Contrast based Wavelet Packets
%J International Journal of Computer Applications
%@ 0975-8887
%V 107
%N 9
%P 37-43
%D 2014
%I Foundation of Computer Science (FCS), NY, USA
Abstract

The development of new imaging methods in various fields arise the need of meaningful combination of all available image datasets. Image fusion is the process of integrating complementary information from multiple image sensor data to create a fused image output. The new image generated should contain a more accurate description of the scene than any of the individual source images and is more suitable for human visual and machine perception or further image processing and analysis tasks. This technique is used in satellite remote sensor images to fuse high resolution panchromatic (PAN) image with the low resolution multispectral (MS) image to form a single high resolution multispectral image. Among the existing fusion techniques, wavelet based methods have proved to produce improved results. This paper proposes a novel method to fuse PAN image and MS image by integrating Contrast based Discrete Wavelet Packet Transform (DWPT) and Intensity Hue Saturation (IHS) technique. Firstly, the advantages of using DWPT over DWT are given in brief. Then the proposed algorithm is explained. Finally, its performance is evaluated using various quality assessment metrics which shows that the proposed method is superior to the other existing methods.

References
  1. Anjali Malviya and S. G. Bhirud ,"Image Fusion of Digital Images", Int. J. Recent Trends in Engineering, Vol. 2, No. 3, November 2009, pp. 2-4.
  2. Ehlers M. , S. Klonusa, P. Johan and P. Rosso , "Multi-sensor image fusion for pansharpening in remote sensing", International Journal of Image and Data Fusion, Vol. 1, No. 1, March 2010, pp. 25–45
  3. K. Shivsubramani, P soman, Krishnamoorthy, "Implementation and Comparative Study of Image Fusion Algorithms", International Journal of Computer Applications (0975 – 8887) Volume 9, No. 2, November 2010, pp. 3-6.
  4. T. M. Tu, S. C. Su, H. C. Shyu, and P. S. Huang, "A new look at IHS-like image fusion methods," Inf. Fusion, vol. 2, no. 3, 2001, pp 177–186.
  5. S G Mallat, "A theory for multiresolution signal decomposition: The wavelet representation", IEEE Trans. PAMI, 11(7), 1989, pp 674-693
  6. T. Pu and G. Ni, "Contrast based Image Fusion using the Discrete Wavelet Transform," Optical Engineering, vol. 39, no. 8, pp. 2075-2082, 2000.
  7. Z. Xiong, K. Ramchandran, M. T. Orchad, "Wavelet packet image coding using space-frequency quantization," IEEE Transactions on Image Processing, vol. 7, pp. 160–174, 1998.
  8. A. Toet, L. J. Ruyven, and J. M. Valeton, "Merging thermal and visual images by a contrast pyramid," Optical Engineering, vol. 28, pp. 789–792, 1989.
  9. Wenbo W, Y. Jing, and K. Tingjun , "Study Of Remote Sensing Image Fusion And Its Application In Image Classification" The Int. Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Beijing ,Vol. XXXVI, Part B7, 2008, pp. 1141-1146
  10. Chibani, Y. , and A. Houacine, "The joint use of the IHSTransform and the redundant wavelet decomposition for fusing multispectral and panchromatic images", International Journal of Remote Sensing, 23(18), 2002, pp 3821–3833.
  11. J. G. Liu, "Smoothing ?lter-based intensity modulation: A spectral preserve image fusion technique for improving spatial details," Int. J. Remote Sens. , vol. 21, no. 18, 2000, pp. 3461–3472.
  12. J. N´u˜nez, X. Otazu, O. Fors, A. Prades, V. c Pal`a, and R. Arbiol, " Multiresolution-Based Image Fusion with Additive Wavelet Decomposition," IEEE Transactions on Geoscience and Remote Sensing, vol. 37, 1999, pp. 1204 – 1211.
  13. T. Ranchin and L. Wald, "Fusion of high spatial and spectral resolution images: The ARSIS concept and its implementation," Photogramm. Eng. Remote Sens. , vol. 66, no. 1, 2000, pp. 49–61.
  14. B. Aiazzi, L. Alparone, S. Baronti, and A. Garzelli, "Context-driven fusion of high spatial and spectral resolution images based on over sampled multi-resolution analysis," IEEE Trans. Geosci. Remote Sens. , vol. 40, no. 10, Oct. 2002, pp. 2300–2312.
  15. K. Amolins, Y. Zhang, and P. Dare, "Wavelet based image fusion techniques - An introduction, review and comparison," ISPRS Journal of Photogrammetry & Remote Sensing, vol. 62, 2007, pp. 249–263.
  16. Ehlers M. , S. Klonusa, P. Johan and P. Rosso , "Multi-sensor image fusion for pansharpening in remote sensing", International Journal of Image and Data Fusion, Vol. 1, No. 1, March 2010, pp. 25–45.
  17. A. Goshtasby and S. G. Nikolov, "Image fusion: Advances in the state of the art", Editorial- Science Direct, Special Issue on Image fusion, 8(2), April 2007, pp 114-118
  18. Wang Z. and A. C. Bovik, "A universal image quality index," IEEE Signal Process Lett. , 9(3), 2002, pp. 81-84.
  19. V. P. S Naidu and J. R. Raol, "Pixel level Image fusion using wavelets and Principal component analysis", Defence science Journal, Vol. 58, No. 3, May 2008, p p. 338-352.
Index Terms

Computer Science
Information Sciences

Keywords

Image fusion Remote sensing Wavelet Packet Transform IHS Transform.