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Article Details

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.

Multi Focus Image Fusion using Image Enhancement Techniques with Wavelet Transformation

Author 1: Sarwar Shah Khan
Author 2: Muzammil Khan
Author 3: Yasser Alharbi

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Digital Object Identifier (DOI) : 10.14569/IJACSA.2020.0110555

Article Published in International Journal of Advanced Computer Science and Applications(IJACSA), Volume 11 Issue 5, 2020.

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Abstract: Multi-focus image fusion produces a unification of multiple images having different areas in focus, which contain necessary and detailed information in the individual image. The paper is proposing a novel idea in a pre-processing step in the image fusion environment in which sharpening techniques applied before fusion in the pre-processing step. This article is proposing multi-focus hybrid techniques for fusion, based on image enhancement, which helps to identify the key features and minor details and then fusion performed on the enhanced images. In image enhancement, we introduced a new hybrid sharpening method that combines Laplacian Filter (LF) with a Discrete Fourier Transform (DFT) and also performs sharpening using the Unsharp sharpen approach. Then fusion is performed using Stationary Wavelet Transformation (SWT) technique to fused the enhanced images and obtaining more detail of the resultant image. The proposed approach is applied to two image sets, e., the “planes” and “clocks” image sets. The quality of the output image evaluated using both qualitative and quantitative approaches. Four will know quantitative metrics used to assess the performance of the novel technique. The experimental results of the novel methods showed efficient, improved outcomes and better for multi-focused image fusion. The SWT (LF+DFT) and SWT (Unsharp Mask) are 2.6 %, 1.8%, and 0.62%, 0.61% better than the best baseline measure, i.e., SWT, considering RMSE (Root Mean Square Error) for both image sets.

Keywords: Multi focus image fusion; image enhancement; unsharp masking; Laplacian Filter (LF); Stationary Wavelet Trans-forms (SWT); frequency domain technique

Sarwar Shah Khan, Muzammil Khan and Yasser Alharbi, “Multi Focus Image Fusion using Image Enhancement Techniques with Wavelet Transformation” International Journal of Advanced Computer Science and Applications(IJACSA), 11(5), 2020. http://dx.doi.org/10.14569/IJACSA.2020.0110555

@article{Khan2020,
title = {Multi Focus Image Fusion using Image Enhancement Techniques with Wavelet Transformation},
journal = {International Journal of Advanced Computer Science and Applications},
doi = {10.14569/IJACSA.2020.0110555},
url = {http://dx.doi.org/10.14569/IJACSA.2020.0110555},
year = {2020},
publisher = {The Science and Information Organization},
volume = {11},
number = {5},
author = {Sarwar Shah Khan and Muzammil Khan and Yasser Alharbi}
}


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