Multi-focus image fusion: A survey of the state of the art

Y Liu, L Wang, J Cheng, C Li, X Chen - Information Fusion, 2020 - Elsevier
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 …

From multi-scale decomposition to non-multi-scale decomposition methods: a comprehensive survey of image fusion techniques and its applications

A Dogra, B Goyal, S Agrawal - IEEE access, 2017 - ieeexplore.ieee.org
Image fusion is a well-recognized and a conventional field of image processing. Image
fusion provides an efficient way of enhancing and combining pixel-level data resulting in …

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 …

Image segmentation-based multi-focus image fusion through multi-scale convolutional neural network

C Du, S Gao - IEEE access, 2017 - ieeexplore.ieee.org
A decision map contains complete and clear information about the image to be fused, and
detecting the decision map is crucial to various image fusion issues, especially multi-focus …

Multi-focus image fusion with a natural enhancement via a joint multi-level deeply supervised convolutional neural network

W Zhao, D Wang, H Lu - … on Circuits and Systems for Video …, 2018 - ieeexplore.ieee.org
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 …

Multi-focus image fusion techniques: a survey

S Bhat, D Koundal - Artificial Intelligence Review, 2021 - Springer
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 …

Multi-scale visual attention deep convolutional neural network for multi-focus image fusion

R Lai, Y Li, J Guan, A Xiong - IEEE Access, 2019 - ieeexplore.ieee.org
To realize the multi-focus image fusion task, an end-to-end deep convolutional neural
network (DCNN) model that produces the final fused image directly from the source images …

Development of an automated multidirectional pest sampling detection system using motorized sticky traps

MK Hadi, MSM Kassim, A Wayayok - IEEE Access, 2021 - ieeexplore.ieee.org
Insect detection and counting constitute a considerable challenge in the field of agriculture.
However, among various biotic issues of agricultural production, pest infestation is a major …

Multifocus image fusion based on extreme learning machine and human visual system

Y Yang, M Yang, S Huang, Y Que, M Ding, J Sun - IEEE access, 2017 - ieeexplore.ieee.org
Multifocus image fusion generates a single image by combining redundant and
complementary information of multiple images coming from the same scene. The …

A hybrid method for multi-focus image fusion based on fast discrete curvelet transform

Y Yang, S Tong, S Huang, P Lin, Y Fang - IEEE access, 2017 - ieeexplore.ieee.org
This paper presents a fast discrete Curvelet transform (FDCT)-based technique for multi-
focus image fusion to address two problems: texture selection in FDCT domain and block …