Call for Paper - July 2022 Edition
IJCA solicits original research papers for the July 2022 Edition. Last date of manuscript submission is June 20, 2022. Read More

Additive Wavelet based Image Fusion using Improved Nonlinear IHS Transformation

Print
PDF
IJCA Proceedings on National Conference on Recent Trends in Computer Science and Engineering
© 2015 by IJCA Journal
MEDHA 2015 - Number 1
Year of Publication: 2015
Authors:
Mahesh P. Chakkarwar
A. V. Deorankar
Vrushali A. Chakkarwar

Mahesh P Chakkarwar, A V Deorankar and Vrushali A Chakkarwar. Article: Additive Wavelet based Image Fusion using Improved Nonlinear IHS Transformation. IJCA Proceedings on National Conference on Recent Trends in Computer Science and Engineering MEDHA 2015(1):25-21, June 2015. Full text available. BibTeX

@article{key:article,
	author = {Mahesh P. Chakkarwar and A. V. Deorankar and Vrushali A. Chakkarwar},
	title = {Article: Additive Wavelet based Image Fusion using Improved Nonlinear IHS Transformation},
	journal = {IJCA Proceedings on National Conference on Recent Trends in Computer Science and Engineering},
	year = {2015},
	volume = {MEDHA 2015},
	number = {1},
	pages = {25-21},
	month = {June},
	note = {Full text available}
}

Abstract

Image fusion is maintaining the spectral quality of the Multispectral (MS) image while retaining the spatial quality of the panchromatic image (PAN) image. Image fusion is a good alternative for increasing interpretability of MS image by inserting spatial information from PAN image to MS image. For the image fusion traditional IHS (intensity, hue and saturation) have been used, but this leads to out of gamut problem. Out of gamut leads to color distortion and contrast reduction in the resultant fused image. In this paper improved nonlinear IHS image fusion is used, which solves the out of gamut problem. But, due to the large intensity differences between PAN image and MS image, leads to color distortion. This paper proposes and implemented adding spatial information from PAN image to MS image rather than conventional intensity substitution. DWT (Discrete Wavelet Transformation) is used for getting spatial information from PAN image that will be added to MS image. This solves the color distortion due to large intensity difference between MS and PAN image and preserves spectral quality of MS image in the fused image.

References

  • Chun-Liang Chien and Wen-Hsiang Tsai, "Image Fusion With No Gamut Problem by Improved Nonlinear IHS Transforms for Remote Sensing", IEEE Transactions on Geoscience And Remote Sensing, Vol. 52, No. 1, January 2014.
  • T. M. Tu, S. C. Su, H. C. Shyu, and P. S. Huang, "A new look at IHS-like image fusionmethods," Inf. Fusion, vol. 2, no. 3, pp. 177–186, Sep. 2001.
  • R. C. Gonzalez and R. E. Woods, Digital Image Processing. Upper Saddle River, NJ, USA: Prentice-Hall, 2007.
  • M. González-Audícana, X. Otazu, O. Fors, and A. Seco, "Comparison between Mallat's and the 'a trous' Discrete wavelet transform based algorithms for the fusion of multispectral and panchromatic images," Int. J. Remote Sens. , vol. 26, no. 3, pp. 595–614, Feb. 2005.