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Multifocus Image Fusion Using Cloud Model


Affiliations
1 Department of Mechanical Engineering, Kamaraj College of Engineering and Technology, India
     

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This paper proposes a multifocus image fusion algorithm based on cloud model. First, each source images are divided into overlapping image blocks of size (2N+1) × (2N+1) and then the mean and entropy of every image pixels over this neighborhood window was calculated and compared in Cloud domain. The pixel with higher magnitude of the calculated image features was selected to form the fused image. The results of multifocus image fusion using this algorithm hold favorable consistency in terms of ischolar_main mean square error, peak signal to noise ratio and quality index for three pairs of test images and confirm the effectiveness of the proposed algorithm.

Keywords

Multi Focus Image Fusion, Cloud Model.
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  • Multifocus Image Fusion Using Cloud Model

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Authors

K. Kannan
Department of Mechanical Engineering, Kamaraj College of Engineering and Technology, India

Abstract


This paper proposes a multifocus image fusion algorithm based on cloud model. First, each source images are divided into overlapping image blocks of size (2N+1) × (2N+1) and then the mean and entropy of every image pixels over this neighborhood window was calculated and compared in Cloud domain. The pixel with higher magnitude of the calculated image features was selected to form the fused image. The results of multifocus image fusion using this algorithm hold favorable consistency in terms of ischolar_main mean square error, peak signal to noise ratio and quality index for three pairs of test images and confirm the effectiveness of the proposed algorithm.

Keywords


Multi Focus Image Fusion, Cloud Model.