icona researchFusion LIB: A Multi-focus Image Fusion Library

 

Multi-focus Image Fusion: Algorithms, Evaluation, and a Library
Rabia Zafar, Muhammad Shahid Farid, Muhammad Hassan Khan

[ Journal of Imaging, vol. 6, no. 7, 60, 2020.]

 

Abstract: Image fusion is a process that integrates similar type of images collected from heterogeneous sources into one image in which the information is more definite and certain. Hence, the resultant image is anticipated as more explanatory and enlightening both for human and machine perception. Different image combination methods have been presented to consolidate significant data from the collection of images into one image. Because of its applications and advantages in variety of fields such as remote sensing, surveillance, and medical imaging, it is significant to comprehend image fusion algorithms and have a comparative study on them. This paper presents a review of the present state-of-the-art and well-known image fusion techniques. The performance of each algorithm is assessed qualitatively and quantitatively on two benchmark multi-focus image datasets. We also produce a multi-focus image fusion dataset by collecting the widely used test images in different studies. The quantitative evaluation of fusion results is performed using a set of image fusion quality assessment metrics. The performance is also evaluated using different statistical measures. Another contribution of this paper is the proposal of a multi-focus image fusion library, to the best of our knowledge, no such library exists so far. The library provides implementation of numerous state-of-the-art image fusion algorithms and is made available free at the project website http://www.di.unito.it/~farid/Research/FusionLib.html.

 

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Datasets used in Evaluation:

  1. Lytro Multifocus Image Dataset (LMID) (Download)
  2. Grayscale Multifocus Image Dataset (GMID) (Download)

      3.  

      Download Library

      FusionLib (MATLAB) [~50MB]

      FusionLib (C/C++) coming soon

       

      How to cite

      If you use the this code in your research, kindly reference the paper: R. Zafar, M.S. Farid, M.H. Khan, "Multi-Focus Image Fusion: Algorithms, Evaluation, and a Library,” J. Imaging 2020, 6, 60.

       

       

      • Last updated: July 3, 2020