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DOI: 10.14569/IJACSA.2018.090605
PDF

Multi Focus Image Fusion using Combined Median and Average Filter based Hybrid Stationary Wavelet Transform and Principal Component Analysis

Author 1: Tian Lianfang
Author 2: Jameel Ahmed Bhutto
Author 3: Du Qiliang
Author 4: Bhawani Shankar
Author 5: Saifullah Adnan

International Journal of Advanced Computer Science and Applications(IJACSA), Volume 9 Issue 6, 2018.

  • Abstract and Keywords
  • How to Cite this Article
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Abstract: Poor illumination, less background contrast and blurring effects makes the medical, satellite and camera images difficult to visualize. Image fusion plays the vital role to enhance image quality by resolving the above issues and reducing the image quantity. The combination of spatial and spectral technique Discrete Wavelet Transform and Principal Component Analysis (DWT-PCA) decrease processing time and reduce number of dimensions but down sampling causes lack of shift invariance that results in poor quality final fused image. At first this work uses combined median and average filter that eliminates noise in the image which is caused by illumination, camera circuitry and sensor at preprocessing stage. Then, hybrid Stationary Wavelet Transform and Principal Component Analysis (SWT-PCA) technique is implemented to increase output image accuracy by eliminating down sampling and is not influenced by artifacts and blurring effects. Further, it can overcome the trade-off of Heisenberg’s uncertainty principle by improving accuracy in both domains, time (spatial) as well as frequency (spectral). The proposed combined median and average filter with hybrid SWT-PCA algorithm measures quality parameters, such as peak signal to noise ratio (PSNR), mean squared error (MSE) and normalized cross correlation (NCC) and improved results depict the superiority of the algorithm than existing techniques.

Keywords: Image fusion; Heisenberg’s uncertainty principle; combined median and average filter; Haar wavelet; Stationary Wavelet Transform and Principal Component Analysis (SWT-PCA)

Tian Lianfang, Jameel Ahmed Bhutto, Du Qiliang, Bhawani Shankar and Saifullah Adnan, “Multi Focus Image Fusion using Combined Median and Average Filter based Hybrid Stationary Wavelet Transform and Principal Component Analysis” International Journal of Advanced Computer Science and Applications(IJACSA), 9(6), 2018. http://dx.doi.org/10.14569/IJACSA.2018.090605

@article{Lianfang2018,
title = {Multi Focus Image Fusion using Combined Median and Average Filter based Hybrid Stationary Wavelet Transform and Principal Component Analysis},
journal = {International Journal of Advanced Computer Science and Applications},
doi = {10.14569/IJACSA.2018.090605},
url = {http://dx.doi.org/10.14569/IJACSA.2018.090605},
year = {2018},
publisher = {The Science and Information Organization},
volume = {9},
number = {6},
author = {Tian Lianfang and Jameel Ahmed Bhutto and Du Qiliang and Bhawani Shankar and Saifullah Adnan}
}



Copyright Statement: This is an open access article licensed under a Creative Commons Attribution 4.0 International License, which permits unrestricted use, distribution, and reproduction in any medium, even commercially as long as the original work is properly cited.

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