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Omer Bin Hussain

Researcher at King Khalid University

Publications -  9
Citations -  57

Omer Bin Hussain is an academic researcher from King Khalid University. The author has contributed to research in topics: Adaptive filter & Salt-and-pepper noise. The author has an hindex of 3, co-authored 7 publications receiving 46 citations.

Papers
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Journal ArticleDOI

Efficient adaptive fuzzy-based switching weighted average filter for the restoration of impulse corrupted digital images

TL;DR: The proposed fuzzy adaptive filter incorporates fuzzy functions to model the uncertainties, while detecting and correcting impulses, and is capable of suppressing noise while preserving image details.
Journal ArticleDOI

An improved digital image watermarking scheme using the discrete Fourier transform and singular value decomposition

TL;DR: The paper presents an improved digital image watermarking algorithm by incorporating the discrete Fourier transform (DFT) and singular value decomposition (SVD) and shows that the proposed algorithm produces good quality watermarked images.
Proceedings ArticleDOI

An efficient DCT-SVD based algorithm for digital image watermarking

TL;DR: Experimental results show that the proposed algorithm is capable of producing good quality watermarked images in terms of objective and subjective matrices with less distortion even in case of potential attacks.
Journal ArticleDOI

Cloud Based Electric Vehicle’s Temperature Monitoring System Using IOT

TL;DR: In this article , quick digital twins (i-DT) fashioned in MATLAB/Simulink are used to build a PMSM monitoring system and prognosis, and an artificial neural system (ANN) in addition to fuzzy logic is used to map the source expanse, point in point in time of EV take a trip, and outputs exterior temp, twisting hotness, moment to fill up the comportment lubricant, and division weakening of magnetic field in charge to determine the lingering constructive life of a permanent magnet (PM).
Journal ArticleDOI

Image adaptive DCT- SVD based digital watermarking scheme by human visual characteristics

TL;DR: An efficient watermarking scheme by incorporating singular value decomposition, discrete cosine transform and homogeneity information in the carrier image and the proposed algorithm produces good quality watermarked images and are less immune to potential attacks.