See discussions, stats, and author profiles for this publication at: https://www.researchgate.net/publication/275637283 Poster Presentation - Wavelet Analysis, Image Processing and Electromagnetics Presentation · July 2014 DOI: 10.13140/RG.2.1.1202.5764 CITATIONS READS 0 630 1 author: Emanuel Guariglia University of Bologna 21 PUBLICATIONS 283 CITATIONS SEE PROFILE Some of the authors of this publication are also working on these related projects: Fractional derivative of special functions. View project Self-affine fractal antennas View project All content following this page was uploaded by Emanuel Guariglia on 25 May 2015. The user has requested enhancement of the downloaded file.
Introduction Wavelets and Electromagnetics FDTDW - Simulation on the transmission coefficient RWG with a wavelet approach Future Developments and Conclusions References Wavelet Analysis, Image Processing and Electromagnetics Emanuel Guariglia eguariglia@unisa.it University of Salerno 22nd Summer School on Image Processing, July 9-18, Zagreb, Croatia Emanuel Guariglia Wavelet Analysis, Image Processing and Electromagnetics
Introduction Wavelets and Electromagnetics FDTDW - Simulation on the transmission coefficient RWG with a wavelet approach Future Developments and Conclusions References Summary Introduction 1 Wavelets and Electromagnetics 2 FDTDW - Simulation on the transmission coefficient 3 RWG with a wavelet approach 4 Future Developments and Conclusions 5 References 6 Emanuel Guariglia Wavelet Analysis, Image Processing and Electromagnetics
Introduction Wavelets and Electromagnetics FDTDW - Simulation on the transmission coefficient RWG with a wavelet approach Future Developments and Conclusions References Why Wavelets and Image Processing? 1 st reason No need to block the image. Emanuel Guariglia Wavelet Analysis, Image Processing and Electromagnetics
Introduction Wavelets and Electromagnetics FDTDW - Simulation on the transmission coefficient RWG with a wavelet approach Future Developments and Conclusions References Why Wavelets and Image Processing? 1 st reason No need to block the image. 2 nd reason More robust under transmission errors. Emanuel Guariglia Wavelet Analysis, Image Processing and Electromagnetics
Introduction Wavelets and Electromagnetics FDTDW - Simulation on the transmission coefficient RWG with a wavelet approach Future Developments and Conclusions References Why Wavelets and Image Processing? 1 st reason No need to block the image. 2 nd reason More robust under transmission errors. 3 rd reason Facilitates progressive transmission of the image (Scalability). Emanuel Guariglia Wavelet Analysis, Image Processing and Electromagnetics
Introduction Wavelets and Electromagnetics FDTDW - Simulation on the transmission coefficient RWG with a wavelet approach Future Developments and Conclusions References Electromagnetics and Image Processing 1/2 As many imaging systems and object recognition applications, there exists a need for pre-processing raw data provided by the image to improve the quality of the measure scene Emanuel Guariglia Wavelet Analysis, Image Processing and Electromagnetics
Introduction Wavelets and Electromagnetics FDTDW - Simulation on the transmission coefficient RWG with a wavelet approach Future Developments and Conclusions References Electromagnetics and Image Processing 1/2 As many imaging systems and object recognition applications, there exists a need for pre-processing raw data provided by the image to improve the quality of the measure scene Examples SAR, Biomedical Processes. Emanuel Guariglia Wavelet Analysis, Image Processing and Electromagnetics
Introduction Wavelets and Electromagnetics FDTDW - Simulation on the transmission coefficient RWG with a wavelet approach Future Developments and Conclusions References Electromagnetics and Image Processing 1/2 As many imaging systems and object recognition applications, there exists a need for pre-processing raw data provided by the image to improve the quality of the measure scene Examples SAR, Biomedical Processes. Electromagnetics needs Image Processing Emanuel Guariglia Wavelet Analysis, Image Processing and Electromagnetics
Introduction Wavelets and Electromagnetics FDTDW - Simulation on the transmission coefficient RWG with a wavelet approach Future Developments and Conclusions References Electromagnetics and Image Processing 2/2 QUESTION Emanuel Guariglia Wavelet Analysis, Image Processing and Electromagnetics
Introduction Wavelets and Electromagnetics FDTDW - Simulation on the transmission coefficient RWG with a wavelet approach Future Developments and Conclusions References Electromagnetics and Image Processing 2/2 QUESTION Can Electromagnetics and Image Processing use the same contemporary mathematical theories? Emanuel Guariglia Wavelet Analysis, Image Processing and Electromagnetics
Introduction Wavelets and Electromagnetics FDTDW - Simulation on the transmission coefficient RWG with a wavelet approach Future Developments and Conclusions References Electromagnetics and Image Processing 2/2 QUESTION Can Electromagnetics and Image Processing use the same contemporary mathematical theories? OF COURSE Emanuel Guariglia Wavelet Analysis, Image Processing and Electromagnetics
Introduction Wavelets and Electromagnetics FDTDW - Simulation on the transmission coefficient RWG with a wavelet approach Future Developments and Conclusions References Method of Moments and Sparsity In Electromagnetics, the Method of Moments works with dense matrices. Emanuel Guariglia Wavelet Analysis, Image Processing and Electromagnetics
Introduction Wavelets and Electromagnetics FDTDW - Simulation on the transmission coefficient RWG with a wavelet approach Future Developments and Conclusions References Method of Moments and Sparsity In Electromagnetics, the Method of Moments works with dense matrices. Wavelet Analysis Emanuel Guariglia Wavelet Analysis, Image Processing and Electromagnetics
Introduction Wavelets and Electromagnetics FDTDW - Simulation on the transmission coefficient RWG with a wavelet approach Future Developments and Conclusions References Method of Moments and Sparsity In Electromagnetics, the Method of Moments works with dense matrices. Wavelet Analysis Sparse Matrices Emanuel Guariglia Wavelet Analysis, Image Processing and Electromagnetics
Introduction Wavelets and Electromagnetics FDTDW - Simulation on the transmission coefficient RWG with a wavelet approach Future Developments and Conclusions References Method of Moments and Sparsity In Electromagnetics, the Method of Moments works with dense matrices. Emanuel Guariglia Wavelet Analysis, Image Processing and Electromagnetics
Introduction Wavelets and Electromagnetics FDTDW - Simulation on the transmission coefficient RWG with a wavelet approach Future Developments and Conclusions References MRTDM and FDTDM 1/2 Using Multiresolutional Analysis, we can improve the classical FDTDM. Emanuel Guariglia Wavelet Analysis, Image Processing and Electromagnetics
Introduction Wavelets and Electromagnetics FDTDW - Simulation on the transmission coefficient RWG with a wavelet approach Future Developments and Conclusions References MRTDM and FDTDM 1/2 Using Multiresolutional Analysis, we can improve the classical FDTDM. Weaknesses of the FDTDM are as follows. Emanuel Guariglia Wavelet Analysis, Image Processing and Electromagnetics
Introduction Wavelets and Electromagnetics FDTDW - Simulation on the transmission coefficient RWG with a wavelet approach Future Developments and Conclusions References MRTDM and FDTDM 1/2 Using Multiresolutional Analysis, we can improve the classical FDTDM. Weaknesses of the FDTDM are as follows. 1 The accuracy of results due to the discretization. Emanuel Guariglia Wavelet Analysis, Image Processing and Electromagnetics
Introduction Wavelets and Electromagnetics FDTDW - Simulation on the transmission coefficient RWG with a wavelet approach Future Developments and Conclusions References MRTDM and FDTDM 1/2 Using Multiresolutional Analysis, we can improve the classical FDTDM. Weaknesses of the FDTDM are as follows. 1 The accuracy of results due to the discretization. 2 Systematic errors due to the discretization. Emanuel Guariglia Wavelet Analysis, Image Processing and Electromagnetics
Introduction Wavelets and Electromagnetics FDTDW - Simulation on the transmission coefficient RWG with a wavelet approach Future Developments and Conclusions References MRTDM and FDTDM 1/2 Using Multiresolutional Analysis, we can improve the classical FDTDM. Weaknesses of the FDTDM are as follows. 1 The accuracy of results due to the discretization. 2 Systematic errors due to the discretization. 3 You can work only with reduced spatial domains. Emanuel Guariglia Wavelet Analysis, Image Processing and Electromagnetics
Introduction Wavelets and Electromagnetics FDTDW - Simulation on the transmission coefficient RWG with a wavelet approach Future Developments and Conclusions References MRTDM and FDTDM 1/2 Using Multiresolutional Analysis, we can improve the classical FDTDM. Weaknesses of the FDTDM are as follows. 1 The accuracy of results due to the discretization. 2 Systematic errors due to the discretization. 3 You can work only with reduced spatial domains. 4 You have to need the boundary conditions. Emanuel Guariglia Wavelet Analysis, Image Processing and Electromagnetics
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