Results 11 to 20 of about 306 (168)
Image fusion method based on simultaneous sparse representation with non‐subsampled contourlet transform [PDF]
IET Computer Vision, 2019 The image fusion method based on sparse representation in the single‐scale image domain has produced better fusion results than the classic methods based on multi‐scale analysis nowadays.
Guiqing He +4 more
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FUSION OF LANDSAT- 8 THERMAL INFRARED AND VISIBLE BANDS WITH MULTI-RESOLUTION ANALYSIS CONTOURLET METHODS [PDF]
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2017 Land surface temperature image is an important product in many lithosphere and atmosphere applications. This image is retrieved from the thermal infrared bands. These bands have lower spatial resolution than the visible and near infrared data. Therefore,
F. Farhanj, M. Akhoondzadeh
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IEEE Access, 2022 This paper presents a pansharpening technique based on the non-subsampled contourlet transform (NSCT) and convolutional autoencoder (CAE). NSCT is exceptionally proficient at presenting orientation information and capturing the internal geometry of ...
Ahmad Al Smadi +4 more
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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
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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
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Improvement of Breast Cancer Detection Using Non-subsampled Contourlet Transform and Super-Resolution Technique in Mammographic Images [PDF]
Iranian Journal of Medical Physics, 2015 Introduction Breast cancer is one of the most life-threatening conditions among women. Early detection of this disease is the only way to reduce the associated mortality rate.
Fatemeh Pak, Hamidreza Rashidy Kanan
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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
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Remote Sensing Image Change Detection Based on NSCT-HMT Model and Its Application
Sensors, 2017 Traditional image change detection based on a non-subsampled contourlet transform always ignores the neighborhood information’s relationship to the non-subsampled contourlet coefficients, and the detection results are susceptible to noise interference ...
Pengyun Chen +4 more
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Seismic Random Noise Attenuation Based on PCC Classification in Transform Domain
IEEE Access, 2020 Random noise attenuation of seismic data is an essential step in the processing of seismic signals. However, as the exploration environment is becoming more and more complicated, the energy of valid signals is weaker and the signal to noise (SNR) is much
Yu Sang +5 more
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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
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