{"title":"Blind deconvolution of blurred images from multiple observations using the GCD algorithm","authors":"M. Hadhoud, M. Dessouky, F. El-Samie, S. El-Khamy","doi":"10.1109/NRSC.2001.929229","DOIUrl":"https://doi.org/10.1109/NRSC.2001.929229","url":null,"abstract":"This paper suggests an approach for the 2-D blind deconvolution of more than two observations using the two-dimension greatest common divisor (GCD) algorithm. This approach benefits from the information in each observation at the same time instead of using only two observations at a time. The approach depends on forming a combinational image from the available observations and performing the 2-D GCD on this image with all observations and then averaging the results to obtain the estimated image. Results are presented to illustrate the superiority of the proposed method.","PeriodicalId":123517,"journal":{"name":"Proceedings of the Eighteenth National Radio Science Conference. NRSC'2001 (IEEE Cat. No.01EX462)","volume":"82 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2001-03-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133553275","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Modified Wiener filter for multi-frame restoration of blurred and noisy images","authors":"M. Hadhoud, M. Dessouky, E. Saad, A. M. Abbas","doi":"10.1109/NRSC.2001.929232","DOIUrl":"https://doi.org/10.1109/NRSC.2001.929232","url":null,"abstract":"This paper proposes the use of a modified Wiener digital restoration technique for multi-frame image sequences that are degraded by both blur and noise. The proposed multichannel Wiener restoration filter accounts for both intra-frame (spatial) and inter-frame (temporal) correlation. A modified cross-correlation formula between consecutive frames, which directly utilizes the power, and cross power spectra of the frames is derived and implemented in a multi-frame Wiener filter. Our modification estimates the motion vectors (horizontal & vertical) between consecutive frames (using a three-step method) then uses it in the formula for restoration. The simulation performed verified that the multi-frame restoration algorithm that uses the information contained in other frames (cross-correlation and motion vectors) in restoration gives a better result than processing the frame independently for restoration.","PeriodicalId":123517,"journal":{"name":"Proceedings of the Eighteenth National Radio Science Conference. NRSC'2001 (IEEE Cat. No.01EX462)","volume":"40 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2001-03-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132677583","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
M. Mokbtar, S. Ibrahem, S.M. Elsherbeiny, Mahmoud A Eldosokey
{"title":"Analysis of aperture coupled microstrip arrays","authors":"M. Mokbtar, S. Ibrahem, S.M. Elsherbeiny, Mahmoud A Eldosokey","doi":"10.1109/NRSC.2001.929161","DOIUrl":"https://doi.org/10.1109/NRSC.2001.929161","url":null,"abstract":"Spectral domain analysis of aperture coupled microstrip arrays in receiving mode is presented. The numerical results describe the coupling mechanism from the antenna substrate to the feeder, and outline the main parameters of the structure. The numerical technique of analysis is the conjugate gradient-fast Fourier transform (CG-FFT) that verifies the boundary condition over the antenna, the coupling aperture, and the feeder simultaneously.","PeriodicalId":123517,"journal":{"name":"Proceedings of the Eighteenth National Radio Science Conference. NRSC'2001 (IEEE Cat. No.01EX462)","volume":"21 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2001-03-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114847597","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
M. Fahmy, G.M.A. El-Raeem, R.S. El-Gohary, A.A. Somyia
{"title":"A fast on line signal separation algorithm","authors":"M. Fahmy, G.M.A. El-Raeem, R.S. El-Gohary, A.A. Somyia","doi":"10.1109/NRSC.2001.929404","DOIUrl":"https://doi.org/10.1109/NRSC.2001.929404","url":null,"abstract":"In this paper, a fast RLS-type adaptive algorithm is devised for on-line signal separation. The described method assumes that n sensors are available from which n independent mixed signals are obtained. The proposed algorithm updates the elements of a decoupling system in a manner to minimize output cross correlation functions. This is achieved through the computation of the steepest decent direction of a constrained cost function that describes the output cross correlation functions of the decoupling system, under equal output power constraint. This direction is updated recursively, as new information comes in. Illustrative examples are given.","PeriodicalId":123517,"journal":{"name":"Proceedings of the Eighteenth National Radio Science Conference. NRSC'2001 (IEEE Cat. No.01EX462)","volume":"17 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2001-03-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124884964","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
A. Emara, Y.M. Zakaria, M. Aly, A. Okaz, M.S. Abou-El-Wafa
{"title":"Noise figure and gain coefficient of doped fiber amplifiers for different host materials","authors":"A. Emara, Y.M. Zakaria, M. Aly, A. Okaz, M.S. Abou-El-Wafa","doi":"10.1109/NRSC.2001.929417","DOIUrl":"https://doi.org/10.1109/NRSC.2001.929417","url":null,"abstract":"This paper provides a numerical investigation of the noise performance of erbium doped fiber amplifiers (EDFAs) and praseodymium doped fiber amplifiers (PDFAs) in different types of host materials. The noise figure and gain coefficient are calculated for different values of pump and signal wavelengths and optimum operational conditions are established for using the amplifiers in optical communication systems.","PeriodicalId":123517,"journal":{"name":"Proceedings of the Eighteenth National Radio Science Conference. NRSC'2001 (IEEE Cat. No.01EX462)","volume":"89 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2001-03-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125108231","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Neural network face recognition using statistical feature and skin texture parameters","authors":"S. El-Khamy, O. Abdel-Alim, M. Saii","doi":"10.1109/NRSC.2001.929222","DOIUrl":"https://doi.org/10.1109/NRSC.2001.929222","url":null,"abstract":"The virtual texture is due to regular or random variation in the gray level or color in an image. Features based on texture are often useful in automatically distinguishing between objects and in finding boundaries between regions. New features that are based on texture analysis of the face skin are proposed as efficient tools for face recognition. In the preprocessing step, the analyzed face region is detected. Then, the texture features of this region, namely, energy, entropy and homogeneity, are extracted. In order to test the performance of the skin texture based features in face recognition we combine them with our previously introduced statistical features that are extracted from a coded image which is obtained from the edge detection of a binary version of the original gray scale image. The statistical features and skin texture parameters are fed to a FBP neural network for face recognition. Computer simulation results with 100 test images of 10 persons (the images of each person in various poses, facial expression, and facial details) show that the proposed skin texture features highly enhance the recognition rate.","PeriodicalId":123517,"journal":{"name":"Proceedings of the Eighteenth National Radio Science Conference. NRSC'2001 (IEEE Cat. No.01EX462)","volume":"102 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2001-03-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116403051","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}