Authors:
Veysel Aslantas
and
Ahmet Nusret Toprak
Affiliation:
Erciyes University, Turkey
Keyword(s):
Multi-focus Image Fusion, Point Spread Function, Differential Evolution Algorithm.
Related
Ontology
Subjects/Areas/Topics:
Artificial Intelligence
;
Computational Intelligence
;
Evolutionary Computing
;
Genetic Algorithms
;
Informatics in Control, Automation and Robotics
;
Intelligent Control Systems and Optimization
;
Optimization Algorithms
;
Optimization Problems in Signal Processing
;
Sensors Fusion
;
Signal Processing, Sensors, Systems Modeling and Control
;
Soft Computing
Abstract:
In applications of imaging system one of the major problems is the limited depth of field which disallow to obtain all-in-focus image. However, microscopic and photographic applications desire to have all-in-focus images. One of the most popular ways to obtain all-in-focus images is the multi focus image fusion. In this paper a novel spatial domain multi focus image fusion method is presented. The method, firstly, calculates point spread functions of the source images by using a technique based on differential evolution algorithm. Then the fused image is constructed by using these point spread functions. Furthermore, the proposed method and other well-known methods are compared in terms of quantitative and visual evaluation.