DocumentCode :
3687290
Title :
An efficient multi transform based fusion for multi focus images
Author :
Nirmala Paramanandham;Kishore Rajendiran;Deepika Narayanan; Indu Vadhani S.;Mrinalini Anand
Author_Institution :
Electronics and Communication Department, SSN College of Engineering, Kalavakkam, INDIA
fYear :
2015
fDate :
4/1/2015 12:00:00 AM
Firstpage :
984
Lastpage :
988
Abstract :
Image fusion is the process of integrating multiple source images of the same scene into a single image, retaining the important and salient features from each image. The resultant fused image provides a more accurate description than any of the individual source images. In this paper a novel multi focus image fusion method is presented by combining Discrete Wavelet Transform and Stationary Wavelet Transform. The source images are decomposed using wavelet transforms and the coefficients are fused according to the fusion rule. An informative fused image is obtained by performing the inverse wavelet transforms to the fused coefficients. The proposed framework is evaluated by employing parameters such as RMSE, PSNR, SF and Entropy. The simulation results demonstrate both quantitatively and subjectively that the proposed fusion approach is effective and can provide better performance in fusing multi-focus images than other conventional state of art single transform methods in the literature.
Keywords :
"Discrete wavelet transforms","Image fusion","Entropy","Biological system modeling","Indexes"
Publisher :
ieee
Conference_Titel :
Communications and Signal Processing (ICCSP), 2015 International Conference on
Type :
conf
DOI :
10.1109/ICCSP.2015.7322645
Filename :
7322645
Link To Document :
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