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International Journal of Advanced Engineering, Management and Science


Design and Implementation of Fuzzy Logic Based Image Fusion Technique

( Vol-1,Issue-6,September 2015 )

Author(s): Samriddhi Bhatnagar, Navneet Agrawal



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Downloads : 8
Page No: 31-36
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Keywords:

Fuzzy Image Fusion, Image Enhancement, Image Sharpening, Magnitude Gradient, Standard Deviation

Abstract:

The quality of image holds importance for both humans and machines. To fulfill the requirement of good quality images, image enhancement is needed. Application of a single contrast enhancement technique often does not produce desirable result and may lead to over enhanced images. To overcome this problem image fusion is performed so that better results with desired enhancement can be achieved. In the present paper an amalgamation of image enhancement, fusion and sharpening have been carried out in the candidate algorithm. The algorithm makes use of fuzzy logic for weight calculation. The results are compared with DACE/LIF approach and it is observed that the proposed algorithm improves the result in terms of quality parameters like PSNR (Peak Signal to Noise Ratio), AMBE (Absolute Mean Brightness Error) and SSIM (Structural Similarity Index) by 0.5 dB, 3 and 0.1 respectively from the existing technique.

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