Results 121 to 130 of about 901 (179)

Fractal dimension-based multi-focus image fusion via distance-weighted regional energy in curvelet domain. [PDF]

Sci Rep
Lv M, Jia Z, Le W, Li L, Ma H.
europepmc   +1 more source

A model-based image fusion framework using discrete band-limited shearlets. [PDF]

Sci Rep
Ji W, Chen X.
europepmc   +1 more source

A non-sub-sampled shearlet transform-based deep learning sub band enhancement and fusion method for multi-modal images. [PDF]

Sci Rep
Sengan S, Gugulothu P, Alroobaea R, Webber JL, Mehbodniya A, Yousef A.   +5 more
europepmc   +1 more source

Applications of Deep Learning Techniques in Healthcare Systems: A Review. [PDF]

J Clin Pract Res
Ozcan T, Toprak AN, Aruk İ, Sahin O, Ozcan I.   +4 more
europepmc   +1 more source

Identification of ipsilateral supraclavicular lymph node metastasis in breast cancer based on LASSO regression with a high penalty factor. [PDF]

Front Oncol
Zhang H, Yin J, Zhou C, Qiu J, Wang J, Lv Q, Luo T.   +6 more
europepmc   +1 more source

Infrared and visible image fusion using GAN with fuzzy logic and Harris Hawks optimization. [PDF]

Sci Rep
Zarimeidani M, Amirabadi A, Amiri N, Ahanian I, Es'haghi S.   +4 more
europepmc   +1 more source

Enhancing Automated Breast Cancer Detection: A CNN-Driven Method for Multi-Modal Imaging Techniques. [PDF]

J Pers Med
Aguerchi K, Jabrane Y, Habba M, Ameur M, Hassani AHE.   +4 more
europepmc   +1 more source

Integration of metaheuristic based feature selection with ensemble representation learning models for privacy aware cyberattack detection in IoT environments. [PDF]

Sci Rep
Karthikeyan M, Brindha R, Vianny MM, Vaitheeshwaran V, Bachute M, Mishra S, Dash BB.   +6 more
europepmc   +1 more source

Contourlet-CNN for SAR Image Despeckling [PDF]

Remote Sensing, 2021
A multiscale and multidirectional network named the Contourlet convolutional neural network (CCNN) is proposed for synthetic aperture radar (SAR) image despeckling. SAR image resolution is not higher than that of optical images. If the network depth is increased blindly, the SAR image detail information flow will become quite weak, resulting in severe ...
Quan Wang, Bo Wan, Gang Liu
exaly   +3 more sources

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Contourlet-based image adaptive watermarking

Signal Processing: Image Communication, 2008
In the contourlet transform (CT), the Laplacian pyramid (LP) decomposes an image into a low-frequency (LF) subband and a high-frequency (HF) subband. The LF subband is created by filtering the original image with 2-D low-pass filter. However, the HF subband is created by subtracting the synthesized LF subband from the original image but not by 2-D high-
Xiaokang Yang, Songyu Yu, Haohao Song
exaly   +3 more sources