An unsupervised multi‐focus image fusion method based on Transformer and U‐Net
Abstract This work presents a multi‐focus image fusion method based on Transformer and U‐Net with an unsupervised training fashion. In this work, the authors introduce Transformer into image fusion because it has great ability to capture the global dependencies and low‐frequency features. In image processing, convolutional neural network (CNN) has good
Xin Jin +5 more
wiley +1 more source
Grey theory applied in non-subsampled Contourlet transform
This study mainly discussed the application of grey theory in the non-subsampled Contourlet domain. The new algorithm combined the excellent characteristics of the non-subsampled Contourlet transform and grey theory in image denoising. The total variation model is used first to modify the noised image in order to reduce the pseudo-Gibbs artifacts.
H.-J. Li, Z.-M. Zhao, X.-L. Yu
openaire +1 more source
CEFusion: Multi‐Modal medical image fusion via cross encoder
Abstract Most existing deep learning‐based multi‐modal medical image fusion (MMIF) methods utilize single‐branch feature extraction strategies to achieve good fusion performance. However, for MMIF tasks, it is thought that this structure cuts off the internal connections between source images, resulting in information redundancy and degradation of ...
Ya Zhu +3 more
wiley +1 more source
Warp-Knitted Fabric Defect Segmentation Based on Non-Subsampled Wavelet-Based Contourlet Transform
In this paper, a non-subsampled wavelet-based contourlet transform (NWCT) is applied in warp-knitted fabric defect segmentation. Compared with the traditional contourlet transform, wavelet transform takes the place of Laplacian pyramid in NWCT and the ...
Xia Dong, Jiang Gaoming, Ma Pibo
doaj +1 more source
Change Detection of Water Resources via Remote Sensing: An L-V-NSCT Approach
Aiming at the change detection of water resources via remote sensing, the non-subsampling contour transformation method combining a log-vari model and the Stractural Similarity of Variogram (VSSIM) model, namely log-vari and VSSIM based non-subsampled ...
Wang Xin, Tang Can, Wang Wei, Li Ji
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Multi-focus image fusion algorithm based on focus detection in spatial and NSCT domain. [PDF]
Multi-focus image fusion is an effective approach to obtain the all-in-focus image. Focus detection is the key issue of multi-focus image fusion. Aiming at the shortcoming of spatial domain and transform domain algorithms for multi-focus image fusion, a ...
Hongmei Wang
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Infrared and visible image fusion method of dual NSCT and PCNN
To solve the problem that the details of fusion images are not retained well and the information of feature targets is incomplete, we proposed a new fusion method of infrared (IR) and visible (VI) image—IR and VI image fusion method of dual non ...
Chunming Wu, Long Chen, Gulistan Raja
doaj +2 more sources
Multi-sensor image fusion based on regional characteristics
Multi-sensor data fusion method has been widely investigated in recent years. This article presents a novel fusion algorithm based on regional characteristics for combining infrared and visible light images in order to achieve an image with clear objects
Fanjie Meng +5 more
doaj +1 more source
SAR and Infrared Image Fusion in Complex Contourlet Domain Based on Joint Sparse Representation
To investigate the problems of the large grayscale difference between infrared and Synthetic Aperture Radar (SAR) images and their fusion image not being fit for human visual perception, we propose a fusion method for SAR and infrared images in the ...
Wu Yiquan, Wang Zhilai
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Noise Reduction Method for Intestinal Image Acquired by Intestinal Robot
The wireless powered intestinal robot transmits the intestinal images taken by the image acquisition system to the external upper computer for diagnosis.
XUE Rongrong, WANG Zhiwu, YAN Guozheng, ZHUANG Haoyu
doaj +1 more source

