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, Türkiye, 21 Temmuz 2010, ss.1-5

  • Yayın Türü: Bildiri / Tam Metin Bildiri
  • Basıldığı Şehir: Kayseri
  • Basıldığı Ülke: Türkiye
  • Sayfa Sayıları: ss.1-5
  • Kayseri 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).