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Multi-Focus Image Fusion Method Based on Multi-Scale Decomposition of Information Complementary [PDF]

Entropy, 2021
Multi-focus image fusion is an important method used to combine the focused parts from source multi-focus images into a single full-focus image. Currently, to address the problem of multi-focus image fusion, the key is on how to accurately detect the ...
Hui Wan, Xianlun Tang, Zhiqin Zhu, Weisheng Li   +3 more
doaj   +4 more sources

From Multi-Scale Decomposition to Non-Multi-Scale Decomposition Methods: A Comprehensive Survey of Image Fusion Techniques and Its Applications

IEEE Access, 2017
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 highly informative data for human perception as compared with individual input
Ayush Dogra, Bhawna Goyal, Sunil Agrawal
doaj   +4 more sources

AMDCnet: attention-gate-based multi-scale decomposition and collaboration network for long-term time series forecasting [PDF]

Frontiers in Artificial Intelligence
IntroductionTime series analysis plays a critical role in various applications, including sensor data monitoring, weather forecasting, economic predictions, and network traffic management. While traditional methods primarily focus on modeling time series
Shikang Hou, Song Sun, Tao Yin, Zhibin Zhang, Meng Yan   +4 more
doaj   +2 more sources

Transfer learning based CEEMDAN-VMD secondary decomposition and multi-scale modeling for short-term electricity market price trend forecasting [PDF]

Scientific Reports
This paper proposes a short-term electricity market price trend forecasting framework based on transfer learning, which centers on Complete Ensemble Empirical Mode Decomposition with Adaptive Noise (CEEMDAN)- Variational Mode Decomposition (VMD ...
Yi Zhang, Xueqiang Song, Changfeng Li, Zhongming Zhang, Jun Zhang   +4 more
doaj   +2 more sources

Multi-Focus Color Image Fusion Based on Quaternion Multi-Scale Singular Value Decomposition

Frontiers in Neurorobotics, 2021
Most existing multi-focus color image fusion methods based on multi-scale decomposition consider three color components separately during fusion, which leads to inherent color structures change, and causes tonal distortion and blur in the fusion results.
Hui Wan, Hui Wan, Xianlun Tang, Zhiqin Zhu, Bin Xiao, Weisheng Li   +5 more
doaj   +3 more sources

Effect of Multi-Scale Decomposition on Performance of Neural Networks in Short-Term Traffic Flow Prediction

IEEE Access, 2021
Numerous studies employ multi-scale decomposition to improve the prediction performance of neural networks, but the grounds for selecting the decomposition algorithm are not explained, and the effects of decomposition algorithms on other performance of ...
Haichao Huang, Jingya Chen, Xinting Huo, Yufei Qiao, Lei Ma   +4 more
doaj   +1 more source

Illumination Adaptive Multi-Scale Water Surface Object Detection with Intrinsic Decomposition Augmentation

Journal of Marine Science and Engineering, 2023
Visual object detection is an essential task for the intelligent navigation of an Unmanned Surface Vehicle (USV), which can sense the obstacles while navigating.
Zhiguo Zhou, Zeming Li, Jiaen Sun, Limei Xu, Xuehua Zhou   +4 more
doaj   +1 more source

Multi-Exposure Image Fusion Algorithm Based on Improved Weight Function

Frontiers in Neurorobotics, 2022
High-dynamic-range (HDR) image has a wide range of applications, but its access is limited. Multi-exposure image fusion techniques have been widely concerned because they can obtain images similar to HDR images. In order to solve the detail loss of multi-
Ke Xu, Qin Wang, Huangqing Xiao, Kelin Liu   +3 more
doaj   +1 more source

FSADFuse: A Novel Fusion Approach to Infrared and Visible Images

IEEE Access, 2021
To address the problems of edge blur and weak detail resolution when fusing infrared and visible images with traditional methods, a novel image fusion approach based on fast super-resolution convolutional neural network and anisotropic diffusion is ...
Shuai Hao, Beiyi An, Tian He, Xu Ma, Hu Wen, Feng Wang   +5 more
doaj   +1 more source

Medical image fusion and noise suppression with fractional‐order total variation and multi‐scale decomposition

IET Image Processing, 2021
Fusion and noise suppression of medical images are becoming increasingly difficult to be ignored in image processing, and this technique provides abundant information for the clinical diagnosis and treatment.
Xuefeng Zhang, Hui Yan
doaj   +1 more source