Zobrazeno 1 - 6
of 6
pro vyhledávání: '"Mehdi Alirezanejad"'
Publikováno v:
Genomics. 112:1173-1181
Gene selection is the process of selecting the optimal feature subset in an arbitrary dataset. The significance of gene selection is in high dimensional datasets in which the number of samples and features are low and high respectively. The major goa
Publikováno v:
Journal of Experimental & Theoretical Artificial Intelligence. 33:109-125
Regardless of the performance of gravitational search algorithm (GSA), it is nearly incapable of avoiding local optima in high-dimension problems. To improve the accuracy of GSA, it is necessary to...
Publikováno v:
Indian Journal of Science and Technology. 7:2133-2139
Authenticating in transaction of digital media becomes an active research field now a day. That is emerging due to the illegal use of digital media and hacking by unauthorized users. Spatial domain based watermarking methods are one of the authentica
Publikováno v:
Journal of Mathematics and Computer Science. 13:247-256
In this paper, impact of a Laplacian filter in better watermark recovery in the spatial domain watermarking algorithms has been investigated. A Laplacian filter is an enhancement filter, this filter could be utilized to optimize extraction of the wat
Autor:
Ahmad Reza Naghsh-Nilchi, Moien Arab, Saeed Amirgholipour, Mehdi Alirezanejad, Aboosaleh Mohammad Sharifi
Publikováno v:
Journal of Mathematics and Computer Science. 11:137-146
It is generally believed that spatial domain watermarking methods are not robust against common image processing attacks. In this paper, a novel application of an unsharp mask is proposed to increase the performance of watermark recovery in correlati
Publikováno v:
Indian Journal of Science and Technology. 7:517-524
Generally, High Boost filter is used to emphasize high frequency components representing the image details without eliminating low frequency components representing the basic form of the signal. The dissimilarity between the watermark and unwatermark