multifocusimagefusion

由 Y Zhou 著作 · 2022 · 被引用 16 次 — This paper describes four kinds of multi-focus image fusion methods: transform domain method, boundary segmentation method, deep learning method, and ...

由 B Tian 著作 · 2023 · 被引用 1 次 — Multi-focus image fusion is a process of fusing multiple images of different focus areas into a total focus image, which has important ...

Multi-focus image fusion is a multiple image compression technique using input images with different focus depths to make one output image that preserves ...

由 S Liu 著作 · 2022 · 被引用 3 次 — As an active approach, MIF technique can generate all-focus images by fusing images of different focus located in the same region ...

由 S Bhat 著作 · 2021 · 被引用 56 次 — Multi-Focus Image Fusion (MFIF) is a method that combines two or more source images to obtain a single image which is focused, has improved ...

由 Y Liu 著作 · 2017 · 被引用 1060 次 — This paper mainly presents a new multi-focus image fusion method based on a deep convolutional neural network. The main novelty of our method is learning a CNN ...

由 X Zhang 著作 · 2020 · 被引用 22 次 — Multi-focus image fusion (MFIF) aims to combine multiple images with different focused areas into a single image with everywhere in focus, as ...

由 Y Liu 著作 · 2020 · 被引用 220 次 — Multi-focus image fusion is an effective technique to extend the depth-of-field of optical lenses by creating an all-in-focus image from a set of partially ...

由 R Zafar 著作 · 2020 · 被引用 15 次 — A general multi-focus image fusion algorithm estimates a focus map for each input image. This focus map categorizes each pixel in the image as ...