A Novel Hybrid Pansharpening Method Using Contourlet Transform

Authors:
Tanish Zaveri;Mukesh Zaveri
Affiliations:
EC Department, Nirma University, Ahmedabad, India;Computer Engineering Department, Sardar Vallabhbhai National Institute of Technology Surat, India
Venue:
PReMI '09 Proceedings of the 3rd International Conference on Pattern Recognition and Machine Intelligence
Year:
2009

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Abstract

In this paper hybrid multispectral image fusion method using contourlet transform is proposed which provides novel tradeoff solution to preserve both spectral and spatial information simultaneously in resultant fused image. Standard Pan-sharpening methods do not allow control of the spatial and spectral quality of the fused image. The color distortion is also most significant problem in standard pan-sharpening methods. Proposed method is applied on number of priori geometrically registered Panchromatic and Multispectral images and simulation results are compared with standard image fusion parameters. The proposed method simulation results also compared six different standard and recently proposed Pan sharpening methods. It has been observed that simulation results of our proposed algorithm is consistent and preserves more detailed spatial and spectral information and better visual quality compared to earlier reported methods.