Search Result "Contourlet transform"


Image Denoising with Trivariate Shrinkage Based on Sharp Frequency Localization Contourlet

Journal: Recent Advances in Electrical & Electronic Engineering
Volume: 9 Issue: 1 Year: 2016 Page: 6-10
Author(s): Zhang Chi,Jin Huixia

Numerical Computation of Transform Coding (Compression Techniques)

Ebook: Communication Theory and Signal Processing for Transform Coding
Volume: 1 Year: 2014
Author(s): Khamies M. A. El-Shennawy
Doi: 10.2174/9781608058303114010013

Research Article

Fusion of Three Band Magnetic Resonance Images Using Sharp Frequency Localized Contourlet Transform

Journal: Current Medical Imaging
Volume: 14 Issue: 5 Year: 2018 Page: 812-817
Author(s): K. Kannan,S. Arumuga Perumal

Feature Based Fusion of Multimodal Medical Image Slices with Combined Transforms

Journal: Current Medical Imaging Reviews
Volume: 12 Issue: 3 Year: 2016 Page: 213-219
Author(s): Kavitha C. Thankam, Chellamuthu Chinnagounder

Research Article

Medical Image Fusion Based on Local Saliency Energy and Multi-scale FractalDimension

Journal: Current Medical Imaging
Volume: 20 Issue: 1 Year: 2024 Page: 1-18
Author(s):

Research Article

Empirical Curvelet-ridgelet Wavelet Transform for Multimodal Fusion of BrainImages

Journal: Current Medical Imaging
Volume: 20 Issue: 1 Year: 2024 Page: 1-19
Author(s):

Computer Aided System for Detection and Classification of Breast Cancer

Journal: Current Medical Imaging
Volume: 11 Issue: 2 Year: 2015 Page: 77-84
Author(s): Indirajith Selvamani,G. Tholkappia Arasu

Research Article

Multimodal Medical Image Fusion based on the VGG19 Model in theNSCT Domain

Journal: Recent Advances in Computer Science and Communications
Volume: 17 Issue: 5 Year: 2024 Page: 59-70
Author(s):

Classification of Medical Image Modeling Methods: A Review

Journal: Current Medical Imaging
Volume: 12 Issue: 2 Year: 2016 Page: 130-148
Author(s): Zahra Amini,Hossein Rabbani

Cutting Edge Techniques of Adaptive Machine Learning for Image Processing and Computer Vision

Ebook: Machine Learning Methods for Engineering Application Development
Volume: 1 Year: 2022
Author(s):
Doi: 10.2174/9879815079180122010004

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