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 …
From multi-scale decomposition to non-multi-scale decomposition methods: a comprehensive survey of image fusion techniques and its applications
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 …
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 …
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 …
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
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-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 …
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 …
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
Multifocus image fusion generates a single image by combining redundant and
complementary information of multiple images coming from the same scene. The …
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
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 …
focus image fusion to address two problems: texture selection in FDCT domain and block …