Results 1 to 10 of about 90 (86)
Sensors, 2018 To obtain fine and potential features, a highly informative fused image created by merging multiple images is usually required. In our study, a novel fusion algorithm called JSKF-NSCT is proposed for fusing panchromatic (PAN) and hyperspectral (HS ...
Jinling Zhao +5 more
doaj +3 more sources
Applied SciencesSeismic signal processing often relies on general convolutional neural network (CNN)-based models, which typically focus on features in the time domain while neglecting frequency characteristics. Moreover, down-sampling operations in these models tend to
Kang Chen +7 more
doaj +3 more sources
Multimedia Tools and Applications, 2023 AbstractMedical imaging has played an essential role in medicine and disease diagnosis. Medical images from a single modality contain limited data about the organ. On the other hand, images from different modalities contain valuable structural and functio nal data about an organ. Medical image fusion (MIF) strategies integrate complementary information
Sara Ibrahim Ibrahim +2 more
openaire +1 more source
Pansharpening Based on Convolution Sparse Representation and NSCT
Taiyuan Ligong Daxue xuebao, 2022 In order to make full use of the spatial detail information of remote sensing images, a remote sensing image fusion method based on convolution sparse representation and non-subsampled contourlet transform (NSCT) was proposed.
Yuting LIU, Fan LIU
doaj +1 more source
Medical Image Fusion Algorithm Based on Multi-layer and Multi-direction Decomposition [PDF]
Jisuanji gongcheng, 2017 Fused images obtained using the traditional multi-modal medical image fusion technology cannot express details clearly and lesion obviously.In view of this,a new fusion method which combines the V-transform and Non-subsampled Contourlet Transform(NSCT ...
SONG Ruixia,WANG Meng,WANG Xiaochun,YU Jiande
doaj +1 more source
Multi-focus image fusion algorithm based on focus detection in spatial and NSCT domain. [PDF]
PLoS ONE, 2018 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
doaj +1 more source
Mathematics, 2022 Pattern detection and classification of cervical cell dysplasia can assist with diagnosis and treatment. This study aims to develop a computational model for real-world applications for cervical dysplasia that has the highest degree of accuracy and the ...
Kangkana Bora +7 more
doaj +1 more source
Infrared and visible image fusion method of dual NSCT and PCNN
PLoS ONE, 2020 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
Entropy, 2021 Multimodal medical image fusion aims to fuse images with complementary multisource information. In this paper, we propose a novel multimodal medical image fusion method using pulse coupled neural network (PCNN) and a weighted sum of eight-neighborhood ...
Liangliang Li, Hongbing Ma
doaj +1 more source
Medical Image Fusion Based on Compressive Sensing and Adaptive PCNN [PDF]
Jisuanji gongcheng, 2018 Aiming at the problem of poor performance and high computational complexity in the image fusion algorithm which based on Pulse Coupled Neural Network(PCNN) in the Non-subsampled Contourlet Transform(NSCT) domain,an fusion algorithm based on Compressed ...
GAO Yuan,JIA Ziting,QIN Pinle,WANG Lifang
doaj +1 more source