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

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Aslantaş V., Kurban R.

International Symposium on INnovations in Intelligent SysTems and Applications, INISTA 2010, Kayseri, Türkiye, 21 Temmuz 2010, ss.1-5

  • Yayın Türü: Bildiri / Tam Metin Bildiri
  • Basıldığı Şehir: Kayseri
  • Basıldığı Ülke: Türkiye
  • Sayfa Sayıları: ss.1-5
  • Abdullah Gül Üniversitesi Adresli: Hayır

Özet

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).