Multi-Focus Image Fusion In Spatial Domain Using Artificial Bee Colony Optimization Algorithm


Creative Commons License

Aslantaş V., Kurban R.

International Symposium on INnovations in Intelligent SysTems and Applications, INISTA 2010, Kayseri, Turkey, 21 July 2010, pp.1-5

  • Publication Type: Conference Paper / Full Text
  • City: Kayseri
  • Country: Turkey
  • Page Numbers: pp.1-5
  • Kayseri University Affiliated: No

Abstract

Optical cameras are affected from the issue of limited depth of field. Image fusion is a popular way to get an everywhere-in-focus image by combining the defocused sequential images of a particular scene. In this paper, a multi-focus image fusion method using Artificial Bee Colony optimization algorithm (ABC) is presented. The multi-focus source images are divided into block type regions in spatial domain. The sharper blocks, selected by a criterion function, are merged to obtain a well-focused image. The block size is optimized to achieve a better image fusion performance. Experiments conducted on different image sets show that the proposed method is better than traditional methods such as Laplacian pyramid and discrete wavelet transform (DWT).