Multi-focus image fusion: A survey of the state of the art
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 focused images of the same …
lenses by creating an all-in-focus image from a set of partially focused images of the same …
A concise review on latest methods of image fusion
Background: With today's emerging world of technology, fusion is the key factor in every
field, especially in the field of medical and remote sensing. By fusing two or more images …
field, especially in the field of medical and remote sensing. By fusing two or more images …
A survey on region based image fusion methods
Image fusion has been emerging as an important area of research. It has attracted many
applications such as surveillance, photography, medical diagnosis, etc. Image fusion …
applications such as surveillance, photography, medical diagnosis, etc. Image fusion …
Ensemble of CNN for multi-focus image fusion
Abstract The Convolutional Neural Networks (CNNs) based multi-focus image fusion
methods have recently attracted enormous attention. They greatly enhanced the constructed …
methods have recently attracted enormous attention. They greatly enhanced the constructed …
Guided filter-based multi-focus image fusion through focus region detection
X Qiu, M Li, L Zhang, X Yuan - Signal Processing: Image Communication, 2019 - Elsevier
Being an efficient method of information fusion, multi-focus image fusion has attracted
increasing interests in image processing and computer vision. This paper proposes a multi …
increasing interests in image processing and computer vision. This paper proposes a multi …
Multi-focus image fusion with a natural enhancement via a joint multi-level deeply supervised convolutional neural network
Common non-focused areas are often present in multi-focus images due to the limitation of
the number of focused images. This factor severely degrades the fusion quality of multi-focus …
the number of focused images. This factor severely degrades the fusion quality of multi-focus …
Multi-focus image fusion techniques: a survey
Abstract 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 quality and more …
images to obtain a single image which is focused, has improved quality and more …
Multi-focus image fusion using neutrosophic based wavelet transform
The key aim of Multi-focus Image Fusion (MFIF) is to gather all the necessary and useful
information as well as features from the source images and then merge that information to …
information as well as features from the source images and then merge that information to …
Multi-focus image fusion using boosted random walks-based algorithm with two-scale focus maps
In conventional fusion methods for multi-focus images, the focus map generated by a focus
measure would usually be sensitive to mis-registration and noise, or produce badly-aligned …
measure would usually be sensitive to mis-registration and noise, or produce badly-aligned …
A defocus and similarity attention-based cascaded network for multi-focus and misaligned image fusion
P Chen, J Jiang, L Li, J Yao - Information Fusion, 2024 - Elsevier
Multi-focus image fusion uses multiple images focused on different depths to generate a
clear image covering the whole scene. The existing multi-focus image fusion methods do not …
clear image covering the whole scene. The existing multi-focus image fusion methods do not …