Ensemble of CNN for multi-focus image fusion

In order to access the source codes, please click: https://github.com/mostafaaminnaji/ECNN proposed in: M. Amin-Naji, A. Aghagolzadeh, and M. Ezoji, “Ensemble of CNN for Multi-Focus Image Fusion”, Information Fusion, vol. 51, pp. 21–214, 2019. DOI: https://doi.org/10.1016/j.inffus.2019.02.003 (C) Mostafa Amin-Naji, Babol Noshirvani University of Technology, Mostafa.Amin.Naji@Gmail.com, PLEASE CITE THE ABOVE PAPER IF YOU USE THIS CODE My Official Website: www.Amin-Naji.com […]

Multi-Focus Image Fusion in DCT Domain using Variance and Energy of Laplacian and Correlation Coefficient for Visual Sensor Networks

Abstract: The purpose of multi-focus image fusion is gathering the essential information and the focused parts from the input multi-focus images into a single image. These multi-focus images are captured with different depths of focus of cameras. A lot of multi-focus image fusion techniques have been introduced using considering the focus measurement in the spatial […]

A new multi-focus image fusion technique based on variance in DCT domain Matlab Code

Abstract: Image fusion process is defined as extracting information and specific features from multiple input images and combining them into a single image which has all essential information. Image fusion methods which have been proposed in DCT domain are very convenient and time-saving in real-time applications. The fused output image of existing methods in DCT […]

Multi-focus image-fusion in DCT domain based on correlation coefficient MATLAB Code

Abstract: Multi-focus image fusion is used to collect useful and necessary information from input images with different focus depths in order to create an output image that ideally has all information from input images. In this article, an efficient, new and simple method is proposed for multi-focus image fusion which is based on correlation coefficient […]