Research Article | OPEN ACCESS
Improved Multidimensional Color Image Fusion Based on the Multi-Wavelets
T.S. Anand, K. Narasimhan and Angam Praveen
Department of Electronics and Communication Engineering, School of
Electrical and Electronics Engineering, Sastra University, Thanjavur
Research Journal of Applied Sciences, Engineering and Technology 2013 2:175-180
Received: March, 18, 2012 | Accepted: December 17, 2012 | Published: 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).
Keywords:
Entropy (H), multi-dimensional images, Multi-Wavelet Transform (MWT), Root Mean Square Error (RMSE), YCbCr color space,
Competing interests
The authors have no competing interests.
Open Access Policy
This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.
Copyright
The authors have no competing interests.
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ISSN (Online): 2040-7467
ISSN (Print): 2040-7459 |
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