Zobrazeno 1 - 4
of 4
pro vyhledávání: '"S. S. Haggag"'
Autor:
Safey A. S. Abdelwahab, Moawad I. Dessouky, HyungWon Kim, El-Sayed M. El-Rabaie, Fathi E. Abd El-Samie, Mohammed Y. Abbass, S. S. Haggag
Publikováno v:
Signal, Image and Video Processing. 13:703-709
Blind image deconvolution is a challenging issue in image processing. A solution to this problem is increasingly required in many applications. In this study, we develop a novel computational approach for solving the blind deconvolution problem by in
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::fa2dc14fb50c46a1a430d5ebb16a0adb
https://doi.org/10.1007/s11760-018-1399-1
https://doi.org/10.1007/s11760-018-1399-1
Autor:
M. I. Dessouky, F. E. Abd El-Samie, Mohammed Y. Abbass, El-Sayed M. El-Rabaie, S. A. Shehata, S. S. Haggag, B. M. Salam, Salaheldin M. Diab
Publikováno v:
Annals of Data Science. 3:25-45
This paper is concerned with blind separation of digital images from mixtures. It suggests the implementation of a blind separation technique on the ridgelet transform (RT) of the mixed images, instead of executing the separation on the mixtures in t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8f5cac3fcb4e4193600e93b3928290e0
https://doi.org/10.1007/s40745-016-0068-x
https://doi.org/10.1007/s40745-016-0068-x
Autor:
Sayed El-Rabaie, F. E. Abd El-Samie, S. S. Haggag, Mohammed Y. Abbass, Salaheldin M. Diab, B. M. Salam, S. A. Shehata
Publikováno v:
2013 Second International Japan-Egypt Conference on Electronics, Communications and Computers (JEC-ECC).
This paper deals with the problem of blind separation of digital images from noisy mixtures. It proposes the application of a blind separation algorithm on Ridgelet Transform (RT) of the mixed images, instead of performing the separation on the mixtu
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5f40fde23b0fbe4d1f202560db771c73
https://doi.org/10.1109/jec-ecc.2013.6766408
https://doi.org/10.1109/jec-ecc.2013.6766408
Autor:
Sayed El-Rabaie, B. M. Salam, S. A. Shehata, F. E. Abd El-Samie, Mohammed Y. Abbass, S. S. Haggag, Salaheldin M. Diab
Publikováno v:
ICCTA
This paper deals with the problem of blind separation of digital images from mixtures. It proposes a wavelet -based Independent Component Analysis (ICA) method using Kurtosis for blind image source separation. In this method, the observations are tra
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2f3b4f27339b2a70339b8b3c8e713f5e
https://doi.org/10.1109/iccta32607.2013.9529537
https://doi.org/10.1109/iccta32607.2013.9529537