Abstract—Image fusion is a process of combining multiple input images of the same scene into a single fused image, which preserves relevant information and also retains the important features from each of the original images and makes it more suitable for human and machine perception. In this paper, a novel region based image fusion method is proposed. The literature review shows that region based image fusion algorithm performs better than pixel based fusion method. Proposed algorithm is applied on large number of registered images and results are compared using standard reference and nonreference based fusion parameters. The proposed method is also compared with different methods reported in the recent literature. It has been observed that simulation results of our proposed algorithm is consistent and preserves more information compared to earlier reported pixel based and region based methods.

Index Terms—Multifocus, Multisensor, Normalized Cut, Spatial Frequency

Tanish H. Zaveri, is with the Nirma University, EC Dept., Ahmedabad, Gujarat, India (corresponding author phone: +91-2717-241911-15; fax: +91-2717-21916; e-mail: ztanish@ieee.org).
Mukesh A. Zaveri, is Head, Department of Computer Engg., Sardar Vallabhbhai National Institute of Technology, Surat, Gujarat, India. (e-mail: mazaverir@coed.svnit.ac.in).

Cite: Tanish Zaveri and Mukesh Zaveri, "A Novel Two Step Region Based Multifocus Image Fusion Method," International Journal of Computer and Electrical Engineering vol. 2, no. 1, pp. 86-91, 2010.