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Homomorphic filtering with image fusion for enhancement of details and homogeneous contrast of underwater image

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Title Homomorphic filtering with image fusion for enhancement of details and homogeneous contrast of underwater image
 
Creator Ghani, Ahmad Shahrizan Abdul
Isa, Nor Ashidi Mat
 
Subject Homomorphic filtering
Dual-image fusion
Histogram matching
Underwater image
 
Description 1904-1919
The proposed method modified the integration of emphasis homomorphic filtering and image fusion (HFIF) to address these problems. Emphasis homomorphic filtering is equipped with the ability to reduce inhomogeneous illumination in an image by increasing the high frequency image signals and reducing or removing low frequency unwanted illumination. Further, the image is applied with histogram matching to increase the influence of inferior color channel while decreasing the dominant color channel. This will automatically balances the color percentages of the image. The image is further processed through enhanced dual-images fusion to improve the overall image contrast and increases the saturation and brightness of the image. Finally, the input image will go through contrast limited adaptive histogram specification to improve the image contrast locally and reduces the effect of under- and over-enhanced areas. Quantitative and qualitative results prove that the new method has outperformed the other state-of-the-art methods in terms of contrast and image detail. Nevertheless, the aforementioned problems have been significantly reduced. Image color is also highly improved.
 
Date 2016-07-21T09:11:13Z
2016-07-21T09:11:13Z
2015-12
 
Type Article
 
Identifier 0975-1033 (Online); 0379-5136 (Print)
http://nopr.niscair.res.in/jspui/handle/123456789/34939
 
Language en_US
 
Rights CC Attribution-Noncommercial-No Derivative Works 2.5 India
 
Publisher NISCAIR-CSIR, India
 
Source IJMS Vol.44(12) [December 2015]