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    Abstract
2013 (Vol. 6, Issue: 02)
Article Information:

Improved Multidimensional Color Image Fusion Based on the Multi-Wavelets

T.S. Anand, K. Narasimhan and Angam Praveen
Corresponding Author:  T.S. Anand 

Key words:  Entropy (H), multi-dimensional images, Multi-Wavelet Transform (MWT), Root Mean Square Error (RMSE), YCbCr color space, ,
Vol. 6 , (02): 175-180
Submitted Accepted Published
March, 18, 2012 December 17, 2012 June 10, 2013
Abstract:

Image fusion refers to the process of combining the visual information present in two or more images into a single high information content image. This study proposes the concept of fusing the Multi-dimensional images using the YCbCr color model based on the Multi-Wavelet Transform (MWT). Initially the source images namely the visible, Infra Red (IR) and Ultra Violet (UV) images are transformed from RGB color model to YCbCr color space and then MWT is applied to the Y, Cb and Cr components of the respective images. Finally the transform coefficients obtained are fused using the different fusion techniques. The performance of the color image fusion process is analyzed using the performance measures-Entropy (H), Peak Signal to Noise Ratio (PSNR), Root Mean Square Error (RMSE) and Correlation Coefficient (CC).
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  Cite this Reference:
T.S. Anand, K. Narasimhan and Angam Praveen, 2013. Improved Multidimensional Color Image Fusion Based on the Multi-Wavelets.  Research Journal of Applied Sciences, Engineering and Technology, 6(02): 175-180.
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ISSN (Online):  2040-7467
ISSN (Print):   2040-7459
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