Results 41 to 50 of about 1,665,992 (319)

Unsupervised Deep Multi-focus Image Fusion

CoRR, 2018
Convolutional neural networks have recently been used for multi-focus image fusion. However, due to the lack of labeled data for supervised training of such networks, existing methods have resorted to adding Gaussian blur in focused images to simulate defocus and generate synthetic training data with ground-truth for supervised learning. Moreover, they
Xiang Yan, Syed Zulqarnain Gilani, Hanlin Qin, Ajmal Mian   +3 more
openaire   +2 more sources

GIPC-GAN: an end-to-end gradient and intensity joint proportional constraint generative adversarial network for multi-focus image fusion

Complex & Intelligent Systems, 2023
As for the problems of boundary blurring and information loss in the multi-focus image fusion method based on the generative decision maps, this paper proposes a new gradient-intensity joint proportional constraint generative adversarial network for ...
Junwu Li, Binhua Li, Yaoxi Jiang
doaj   +1 more source

3M: A Multi-Scale and Multi-Directional Method for Multi-Focus Image Fusion

IEEE Access, 2021
Based on the analysis of the multi-scale-based and sparse representation-based multi-focus image fusion method, we believe that a multi-scale fusion method should consider the directivity of high/low frequency sub-bands and low computational complexity ...
Bingzhe Wei, Xiangchu Feng, Weiwei Wang
doaj   +1 more source

Fusion PSPnet Image Segmentation Based Method for Multi-Focus Image Fusion

IEEE Photonics Journal, 2019
To address the problem that the traditional multi-focus images fusion methods cannot fully use of spatial context information. A novel image segmentation method for multi-focus image fusion is proposed.
Jingchun Zhou, Mingliang Hao, Dehuan Zhang, Peiyu Zou, Weishi Zhang   +4 more
doaj   +1 more source

Fast Multi-Focus Image Fusion Using Inner Channel Prior

IEEE Access, 2021
In this paper, we propose a simple but effective sharpness prior—inner channel prior—to detect the focused area of multi-focus images. The inner channel prior is a kind of location feature of natural image sharpness.
Tingna Kuang, Feihong Yu, Xuxiang Ni
doaj   +1 more source

Multi-Focus Image Fusion via Explicit Defocus Blur Modelling

AAAI Conference on Artificial Intelligence
Multi-focus image fusion (MFIF) enhances depth of field in photography by generating an all-in-focus image from multiple images captured at different focal lengths.
Yuhui Quan, Xi Wan, Zitao Tang, Jinxiu Liang, Hui Ji   +4 more
semanticscholar   +1 more source

Multi-focus image fusion for visual sensor networks [PDF]

2016 24th Iranian Conference on Electrical Engineering (ICEE), 2016
5 ...
Milad Abdollahzadeh, Touba Malekzadeh, Hadi Seyedarabi   +2 more
openaire   +2 more sources

A system for gaze-contingent image analysis and multi-sensorial image display

, 2003
A novel system for gaze-contingent image analysis and multisensorial image display is described. The observer's scanpaths are recorded while viewing and analysing 2D or 3D (volumetric) images.
Gilchrist, Iain D, I.D. Gilchrist, Canagarajah, CN, Canagarajah, C., Bull, D., D.R. Bull, Nikolov, S., Gilchrist, I., Bull, DR, Jones, Michael, Bull, David, M.C. Jones, C.N. Canagarajah, Nikolov, SG, Gilchrist, ID, S.G. Nikolov, Jones, MG   +16 more
core   +1 more source

Multi-view image coding with wavelet lifting and in-band disparity compensation [PDF]

, 2005
This paper presents a novel framework to achieve scalable multi-view image coding. As open loop operation, the wavelet lifting scheme for geometric filtering has been exploited to overcome the limitation of SNR scalability and to attain view scalability.
Anantrasirichai, N, C.N. Canagarajah, Canagarajah, CN, D.R. Bull, N. Anantrasirichai, Bull, DR   +5 more
core   +1 more source

Time Toxicity in Wilms Tumor: Quantifying the Burden of Healthcare Interaction in the First Year After Diagnosis

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Background Wilms tumor (WT) treatment imposes a significant time burden on patients and their families. Time toxicity is a patient‐centered metric that quantifies the burden of healthcare interaction. We sought to define time toxicity in the first year after diagnosis of WT and hypothesized that it would increase as tumor stage and treatment ...
Caleb Q. Ashbrook, Veerain Gupta, Nicholas J. Clark, Vijay Rings, Lauren E. Corona, Douglass B. Clayton, Daniel J. Benedetti   +6 more
wiley   +1 more source