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Volume & Issue no: Volume 3, Issue 9, September 2014

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Title:
Image Fusion Based on Wavelet and Curvelet Transform using ANFIS Algorithm
Author Name:
Navneet kaur, Madhu Bahl
Abstract:
ABSTRACT Image Fusion is the process of combining information from two or more images of a scene into a single composite image which is more informative for visual perception. Image processing plays a vital role in the medical field because most of the diseases are diagnosed by means of medical images. In this paper the image fusion based on wavelet and curvelet transform using ANFIS algorithm is used to get more accurate results with improved image quality. MR (Magnetic Resonance) images are used for the fusion purpose. The result generated by ANFIS algorithm is compared to PCA technique of image fusion using wavelet and curvelet transform. The parameters like RMSE (Root Mean Square Error) and PSNR (Peak Signal to Noise Ratio) are used to evaluate the performance measures. Keywords: Image Fusion, ANFIS, Wavelet and Curvelet transform, RMSE, PSNR.
Cite this article:
Navneet kaur, Madhu Bahl , " Image Fusion Based on Wavelet and Curvelet Transform using ANFIS Algorithm" , International Journal of Application or Innovation in Engineering & Management (IJAIEM) , Volume 3, Issue 9, September 2014 , pp. 117-125 , ISSN 2319 - 4847.
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