Artificial Bee Colony Based Focus Fusion | Zendy

Veysel Aslantaş | Zendy; Ahmet Nusret Toprak | Zendy

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Artificial Bee Colony Based Focus Fusion

Author(s) -

Veysel Aslantaş,

Ahmet Nusret Toprak

Publication year - 2015

Language(s) - English

Resource type - Conference proceedings

DOI - 10.15849/icit.2015.0021

Subject(s) - artificial intelligence , focus (optics) , pixel , computer science , image fusion , transformation (genetics) , computer vision , fusion , artificial bee colony algorithm , point (geometry) , image (mathematics) , pattern recognition (psychology) , mathematics , optics , physics , linguistics , philosophy , biochemistry , chemistry , geometry , gene

This paper proposes a pixel based multi-focus image fusion method which consists of two main steps: detection of point spread functions of the source images by using artificial bee colony algorithm and fusion of the source image by making use of estimated point spread functions. The main advantage of the proposed method is it directly fuses the source images without any transformation that modifies the original pixel values. Experimental results demonstrate the superiority of the proposed method in terms of quantitative and visual evolution. Keywords—multi-focus image fusion; artificial bee colony, blur estimation

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