DocumentCode :
3687305
Title :
Fuzzy type image fusion using hybrid DCT-FFT based laplacian pyramid Transform
Author :
Rajesh Kumar Kakerda;Mahendra Kumar;Garima Mathur;R P Yadav;Jagdish Prasad Maheshwari
Author_Institution :
Department of Electronics &
fYear :
2015
fDate :
4/1/2015 12:00:00 AM
Firstpage :
1049
Lastpage :
1052
Abstract :
This paper presents a fuzzy type image fusion technique using hybrid discrete Cosine transform (DCT) - Fast Fourier Transform (FFT) based laplacian pyramid. It is concluded that fusion with higher level of pyramid provides better fusion quality. This technique can be used for fusion of fuzzy images as well as multi model image fusion. The proposed algorithm is very simple, easy to implement and could be used for real time applications. This is paper also provided comparatively studied between proposed and previous existing technique and validation of the proposed algorithm as Peak Signal to Noise Ratio (PSNR), Root Mean Square Error (RMSE) and Correlation (CORR).
Keywords :
"Discrete cosine transforms","Image segmentation","Image recognition","Laplace equations","Artificial intelligence","Manganese"
Publisher :
ieee
Conference_Titel :
Communications and Signal Processing (ICCSP), 2015 International Conference on
Type :
conf
DOI :
10.1109/ICCSP.2015.7322661
Filename :
7322661
Link To Document :
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