• VEYSEL ASLANTAS Erciyes University, Department of Computer Engineering, Kayseri, Turkey
  • RIFAT KURBAN Erciyes University, Department of Computer Engineering, Kayseri, Turkey
  • AHMET NUSRET TOPRAK Erciyes University, Department of Computer Engineering, Kayseri, Turkey
  • EMRE BENDES Erciyes University, Department of Computer Engineering, Kayseri, Turkey


Web based MATLAB applications, multi-focus image fusion, evolutionary algorithms


This paper presents a web-based multi-focus image fusion toolkit developed by using ASP.NET and MATLAB. The toolkit enables users to explore different image fusion techniques such as basic averaging, Laplacian pyramid, wavelet, Discrete Cosine Transform (DCT), pixel based method using spatial frequency & morphological operators (PBSFMO) and block-based spatial domain fusion (SDMIF) methods. The toolkit also includes a new optimal fusion method based on evolutionary algorithms such as Evolution strategies (ES), Genetic algorithm (GA), Differential evolution (DE), and Adaptive differential evolution (JADE) algorithm. Users will be able to evaluate several image fusion techniques easily and efficiently by employing the toolkit.



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