Image Fusion is the combination of two or more images to complement each other's deficiencies. Multifocus Image Fusion is to combine two or more images to achieve an "all-in-focus" image. It is needed because of the limited depth of focus. We have developed this project for our Digital Image Processing course by utilizing the resources we refer to below. We used the Multifocus Image Fusion dataset that belongs to MathWorks. You can download the dataset from this link: https://www.mathworks.com/matlabcentral/fileexchange/70109-multi-focus-image-fusion-dataset
References:
M. A. Naji and A. Aghagolzadeh, “Multi-focus image fusion in DCT domain on Knowledge-Based Engineering and Innovation (KBEI), 2015, pp. 632-639. based on correlation coefficient,” in 2015 2nd International Conference https://doi.org/10.1109/KBEI.2015.7436118
M. A. Naji and A. Aghagolzadeh, “Multi-focus image fusion in DCT domain based on correlation coefficient,” in 2015 2nd International Conference on Knowledge-Based Engineering and Innovation (KBEI), 2015, pp. 632-639. https://doi.org/10.1109/KBEI.2015.7436118
Mostafa Amin-Naji, Pardis Ranjbar-Noiey, Ali Aghagolzadeh, “Multi-focus image fusion using Singular Value Decomposition in DCT domain,” in 2017 10th Iranian Conference on Machine Vision and Image Processing (MVIP), 2017, pp. 45-51. DOI: https://doi.org/10.1109/IranianMVIP.2017.8342367