International Journal of Advanced Networking and Applications

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Application of Partial Differential Equations in Multi Focused Image Fusion


Affiliations
1 Department of Mechatronics Engineering, KAMARAJ College of Engineering and Technology, Madurai – 625 701, India
 

Image Fusion is a process used to combine two or more images to form more informative image. More often, machine vision cameras are affected by limited depth of field and capture the clear view of the objects which are in focus. Other objects in the scene will be blurred. So, it is necessary to combine set of images to have the clear view of all objects in the scene. This is called Multi focused image fusion. This paper compares and presents the performance of second order and fourth order partial differential equation in multi focused image fusion.

Keywords

Depth of Field, Image Fusion, Multi Focused Image Fusion, Partial Differential Equations.
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  • Application of Partial Differential Equations in Multi Focused Image Fusion

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Authors

K. Kannan
Department of Mechatronics Engineering, KAMARAJ College of Engineering and Technology, Madurai – 625 701, India

Abstract


Image Fusion is a process used to combine two or more images to form more informative image. More often, machine vision cameras are affected by limited depth of field and capture the clear view of the objects which are in focus. Other objects in the scene will be blurred. So, it is necessary to combine set of images to have the clear view of all objects in the scene. This is called Multi focused image fusion. This paper compares and presents the performance of second order and fourth order partial differential equation in multi focused image fusion.

Keywords


Depth of Field, Image Fusion, Multi Focused Image Fusion, Partial Differential Equations.

References