Aug 23, 2019 · In this paper, a novel multifocus image fusion algorithm based on the convolutional neural network (CNN) in the discrete wavelet transform ...

In this paper, a novel multifocus image fusion algorithm based on the convolutional neural network (CNN) in the discrete wavelet transform (DWT) domain is ...

Abstract: In this paper, a novel multifocus image fusion algorithm based on the convolutional neural network (CNN) in the discrete wavelet transform (DWT) ...

Feb 20, 2019 · This paper uses a deep convolutional neural network to learn the direct mapping between the high-frequency and low-frequency images of the source and fusion ...

In this study, we address this problem with a deep learning approach, aiming to learn a direct mapping between source images and focus map.

Multifocus image fusion using convolutional neural networks in the discrete wavelet transform domain. https://doi.org/10.1007/s11042-019-08070-6 ·.

We propose a novel convolutional neural network based on the Dempster-Shafer theory (DST) for multi-focus image fusion.

Jun 26, 2023 · The main purpose of the MFIF-DWT-CNN approach is to create a new merged image by collecting the required features from the main image. With the ...

Jun 26, 2023 · The aim of DL based multi-focus image fusion methods is to create the better decision map for fusing the input multi-focus images compared with ...

Multifocus image fusion is the merging of images of the same scene and having multiple different foci into one all-focus image. Most existing fusion ...