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Adaptive Hybrid Bivariate Double Density Discrete and Complex Wavelet for Image Denoising

Journal of Computer and Communications 2023年第2期11卷 39-56页

作者： Gamal fahmy Mamdouh F. fahmy omar fahmy Faculty of Computer Science and Engineering Galala University Al Galala Egypt Electrical Engineering Dept. Assiut University Assiut Egypt Electrical Engineering Dept. Badr University Cairo Egypt

Image denoising is an important step in eliminating any noise impact in any image transmission process. Recently we presented two approaches for Bivariate based image denoising. They were Double Density Discrete Wavelet Transform (DD DWT) and Double Density Dual Tree Complex Wavelet Transform (DD CWT). In both techniques we decomposed noisy images with either DD DWT or DD CWT decompositions and then applied the Bivariate based denoising technique for noise removal. In this paper we propose an adaptive hybrid technique for Bivariate based image denoising that is based on the synthesis of DD-DWT bands or DD-CWT bands but with different weights, to deliver enhanced image features with less denoising impact especially around image edges, which is the most effected by noisy transmission channels. This proposed technique has been also enhanced by edge sharpening and Eigen analysis, as two separate stages. Simulation result comparisons have been performed between the proposed hybrid band adaptive DD-DWT and DD-CWT technique and the two primary techniques DD-DWT, DD- CWT, as well as other superior literature techniques such the original bivariate denoising technique with both original Complex Wavelet Transform and Double Density decompositions. This work in specific compares between Double Density DWT and Double Density CWT decompositions, proposes new filter design that suits each of them and proposes a hybrid technique between as will be shown.

关键词： Complex Wavelet Image Deniosing Double Density Wavelets

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A New Fast Iterative Blind Deconvolution Algorithm

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Journal of Signal and Information Processing 2012年第1期3卷 98-108页

作者： Mamdouh F. fahmy Gamal M. Abdel Raheem Usama S. Mohamed omar F. fahmy Department Electrical Engineering Assiut University Assiut Egypt Department of Electrical Engineering Future University Cairo Egypt

Successful blind image deconvolution algorithms require the exact estimation of the Point Spread Function size, PSF. In the absence of any priori information about the imagery system and the true image, this estimation is normally done by trial and error experimentation, until an acceptable restored image quality is obtained. This paper, presents an exact estimation of the PSF size, which yields the optimum restored image quality for both noisy and noiseless images. It is based on evaluating the detail energy of the wave packet decomposition of the blurred image. The minimum detail energies occur at the optimum PSF size. Having accurately estimated the PSF, the paper also proposes a fast double updating algorithm for improving the quality of the restored image. This is achieved by the least squares minimization of a system of linear equations that minimizes some error functions derived from the blurred image. Moreover, a technique is also proposed to improve the sharpness of the deconvolved images, by constrained maximization of some of the detail wavelet packet energies. Simulation results of several examples have verified that the proposed technique manages to yield a sharper image with higher PSNR than classical approaches.

关键词： Blind Image Deconvolution Image Enhancement

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Allolobophora caliginosa coelomic fluid ameliorates gentamicin-induced hepatorenal toxicity in rats

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Asian Pacific Journal of Tropical Biomedicine 2020年第9期10卷 411-416页

作者： Saad Bin Dajem Sara Bayoumi Ali omar Ghanem Abdelrady Nouraldin Mahmoud Salahaldin Ahmed Muhammed Soliman Yasmin Mohamed Kamal Ammar Yasser Abdelazim Aya Fadi Mohamed Kareem Morsy Ayman Saber Mohamed Sohair Ramadan fahmy Department of Biology College of ScienceKing Khalid UniversityAbhaSaudi Arabia Department of Zoology Faculty of ScienceCairo UniversityCairoEgypt

Objective:To explore the efficacy of earthworm’s coelomic fluid against gentamicin-induced hepatic and renal toxicity in ***:The animals were divided randomly into three groups(n=6 per group):control,gentamicin,and Allolobophora caliginosa coelomic fluid-treated *** was established after injection of gentamicin daily for 8 days at a dose of 100 mg/*** aminotransferase,alanine aminotransferase,alkaline phosphatase,total proteins,albumin,creatinine,urea,uric acid,malondialdehyde,glutathione,catalase and histopathology of tissues were investigated in the ***:Allolobophora caliginosa coelomic fluid significantly decreased urea,creatinine,uric acid,alanine aminotransferase,aspartate aminotransferase,alkaline phosphatase,and malondialdehyde levels while significantly increasing levels of total proteins,albumin,glutathione and *** histopathological investigation showed partial restoration of renal and hepatic ***:This study shows the potency of Allolobophora caliginosa coelomic fluid in improving the biochemical and histopathological changes induced by gentamicin in the liver and kidney of the rats.

关键词： Allolobophora caliginosa Coelomic fluid Gentamicin Hepatorenal toxicity Earthworm

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Wi-Fi Traffic Enforcement System (WiTE)

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Journal of Transportation Technologies 2013年第2期3卷 142-148页

作者： Fady W. Gendi Tarek K. Refaat Amir H. Sadek Ramez M. Daoud Hassanein H. Amer Chahir S. fahmy omar M. Kassem Hany M. ElSayed Electronics and Communication Department Cairo University Giza Egypt Electronics Engineering Department American University in Cairo New Cairo Egypt

This paper proposes a single integrated traffic enforcement system that is able to recognize and report various traffic violations. It consists of a Wi-Fi infrastructure that enables communication between moving vehicles and a central node. Unlike existing solutions, which address single violations, the proposed model encompasses several issues like exceeding speed limits, entering a no entry street, car theft, congestion and tolling. OPNET simulations were run to test the Wi-Fi model and define its different characteristics and limitations. A proof-of-concept case was modeled, and the proposed architecture succeeded in meeting all design requirements.

关键词： Wi-Fi Traffic Enforcement Vehicular Networking Vehicle to Infrastructure (V2I) Infrastructure to Vehicle (I2V)

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