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pro vyhledávání: '"Ashraf K. Helmy"'
Publikováno v:
International Journal of Advanced Computer Science and Applications. 13
Publikováno v:
Computers & Electrical Engineering. 62:249-265
Super-resolution obtains a new high resolution image from single or multiple low-resolution images for the same scene. Recently compressive sensing has been successfully used in signal recovery. This paper investigates the potential reduction in exec
Publikováno v:
International Journal of Remote Sensing. 37:4201-4224
Recently, compressive sensing CS has offered a new framework whereby a signal can be recovered from a small number of noisy non-adaptive samples. This is now an active area of research in many image-processing applications, especially super-resolutio
Autor:
Gh. S. El-Taweel, Ashraf K. Helmy
Publikováno v:
Applied Soft Computing. 40:405-415
We have proposed a scheme for segmenting image in SIST domain.Use texture features to get efficient segmented image.We use MRI images and satellite images to evaluate our scheme.We evaluate our scheme via quality measures. A hybrid scheme for the ima
Publikováno v:
Journal of Computer Science. 10:1324-1335
The key point of the Super-Resolution (SR) process is the accurate registration of the low resolution images, i.e., accurate measuring of the fixed shift between them, to obtain high resolution image. Due to cert ain malfunction, some Egyptsat-1 imag
Autor:
Ashraf K. Helmy, Ghada Samy El-Tawel
Publikováno v:
Journal of Biomedical Science and Engineering. :76-84
The following article has been retracted due to the investigation of complaints received against it. The Editorial Board found that the same contents have been published in another journal at the same time. The scientific community takes a very stron
Publikováno v:
Advances in Intelligent Systems and Computing ISBN: 9783319483078
AISI
AISI
Neighbor Embedding (NE) is one of the powerful manifold techniques used in super-resolution, but due to the complexity of manifold learning algorithms, their vast computation times are very challenging. The Locally Linear Embedding (LLE) algorithm re
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::de87378ccc42a2a974f3a1ee8574489e
https://doi.org/10.1007/978-3-319-48308-5_60
https://doi.org/10.1007/978-3-319-48308-5_60
Publikováno v:
2015 IEEE Seventh International Conference on Intelligent Computing and Information Systems (ICICIS).
Single image super resolution (SISR) is the process that obtains a high resolution image from a single low resolution (LR) image by increasing the high frequency information and removing the degradation of the noise. Sparse representation of signal a
Publikováno v:
Intelligent Systems Reference Library ISBN: 9783319212111
Applications of Intelligent Optimization in Biology and Medicine
Applications of Intelligent Optimization in Biology and Medicine
Super-resolution (SR) concentrates on constructing a high-resolution (HR) image of a scene from two or more sets of low-resolution (LR) images of the same scene. It is the process of combining a sequence of low-resolution (LR) noisy blurred images to
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::33c031e5dfc518961e24adc3cdd49900
https://doi.org/10.1007/978-3-319-21212-8_6
https://doi.org/10.1007/978-3-319-21212-8_6
Publikováno v:
Computational Science and Its Applications--ICCSA 2015 ISBN: 9783319214061
ICCSA (2)
ICCSA (2)
Super Resolution (SR) is a technique to recover a high-resolution (HR) image from different noisy low resolution (LR) images. The missing high-frequency components in LR images should be restored correctly in HR image. Because of the extensive size o
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c17814c4def7c0dd0cfd620128dbd235
https://doi.org/10.1007/978-3-319-21407-8_10
https://doi.org/10.1007/978-3-319-21407-8_10