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106 articles for “Digital Images”
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Research ArticleOpen accessIn the abstractRandomized Pixel Selection for Enhancing LSB Algorithm Security against Brute-Force AttackAmmar Y. Tuama, Mohamad A. Mohamed, Abdullah Muhammed, Zurina M. HanapiSteganography is the science of concealing a secret message by embedding it into innocent carriers such as text, audio, images, etc. It plays a crucial role in a broad range of security applications such as securing message exchange, user authentication and copyrighting. One of the most effortless and widely-used techniques is the age-old Least Significant Bits (LSB) algorithm, which can … …Journal of Mathematics and Statistics, Vol. 13, Issue 2 · 16 May 2017 · 7,445 accessesView PDFCite
Research ArticleOpen accessIn the abstractBLOOD VESSEL DIAMETER MEASUREMENT ON RETINAL IMAGENidhal K. El Abbadi, Enas Al SaadiAccurate measurement of vessel diameters on retinal images plays an important part in diagnosing cardiovascular diseases and early signs of certain systemic diseases, such as diabetes and hypertension. In this study we develop new method based on computer aided to determine the width of retinal blood vessels by analysing the color fundus image. Retinal vessel diameter was measured based on … …Journal of Computer Science, Vol. 10, Issue 5 · 18 Jan 2014 · 7,527 accessesView PDFCite
Research ArticleOpen accessIn the abstractGeomorphology Using Geographic Information System and Globel MapperEmad AkawwiAn effort has been made to evaluate drainage morphometry and its influence on landform processes, geology and erosion characteristics in Jordan Valley and surrounding area. Geological maps 1:50,000 scale and the professional Google Earth images were used for analysis of various morphometric, lithological and landform characteristics of Jordan Valley basin. Morphometric analysis was carried out at sub basin level using … …American Journal of Environmental Sciences, Vol. 9, Issue 5 · 18 Sep 2013 · 7,090 accessesView PDFCite
Research ArticleOpen accessIn the abstractDesign an Advance Computer-Aided Tool for Image Authentication and ClassificationRozita Teymourzadeh, Amirize Alpha Laadi, Yazan Samir Algnabi et al.Over the years, advancements in the fields of digital image processing and artificial intelligence have been applied in solving many real-life problems. This could be seen in facial image recognition for security systems, identity registrations. Hence a bottleneck of identity registration is image processing. These are carried out in form of image preprocessing, image region extraction by cropping, feature extraction … …American Journal of Applied Sciences, Vol. 10, Issue 7 · 24 Jun 2013 · 6,561 accessesView PDFCite
Research ArticleOpen accessIn the abstractImage Reconstruction Algorithm for Electrical Charge Tomography SystemM. F. Rahmat, M. D. Isa, K. Jusoff et al.Problem statement: Many problems in scientific computing can be formulated as inverse problem. A vast majority of these problems are ill-posed problems. In Electrical Charge Tomography (EChT), normally the sensitivity matrix generated from forward modeling is very ill-condition. This condition posts difficulties to the inverse problem solution especially in the accuracy and stability of the image being reconstructed. The objective … …American Journal of Applied Sciences, Vol. 7, Issue 9 · 30 Sep 2010 · 8,330 accessesView PDFCite
Research ArticleOpen accessIn the abstractInvariant Image Watermarking Using Accurate Zernike MomentsIsmail A. Ismail, Mohamed A. Shouman, Khalid M. Hosny, Hayam M. Abdel SalamProblem statement: Digital image watermarking is the most popular method for image authentication, copyright protection and content description. Zernike moments are the most widely used moments in image processing and pattern recognition. The magnitudes of Zernike moments are rotation invariant so they can be used just as a watermark signal or be further modified to carry embedded data. The computed … …Journal of Computer Science, Vol. 6, Issue 1 · 31 Jul 2010 · 8,009 accessesView PDFCite
Research ArticleOpen accessIn the abstractModified Curvelet Thresholding Algorithm for Image DenoisingAl-Dahoud Ali, Preety D. Swami, J. SinghaiProblem statement: This study introduced an adaptive thresholding method for removing additive white Gaussian noise from digital images. Approach: Curvelet transform employed in the proposed scheme provides sparse decomposition as compared to the wavelet transform methods which being nongeometrical lack sparsity and fail to show optimal rate of convergence. Results: Different behaviors of curvelet transform maxima of image and noise … …Journal of Computer Science, Vol. 6, Issue 1 · 31 Jan 2010 · 7,255 accessesView PDFCite
Research ArticleOpen accessIn the abstractHigh-precision Detection of Facial Landmarks to Estimate Head Motions Based on Vision ModelsXiaohong W. Gao, Sergey Anishenko, Dmitry Shaposhnikov et al.A new approach of determination of head movement is presented from the pictures recorded via digital cameras monitoring the scanning processing of PET. Two human vision models of CIECAMs and BMV are applied to segment the face region via skin colour and to detect local facial landmarks respectively. The developed algorithms are evaluated on the pictures (n=12) monitoring a subject’s … …Journal of Computer Science, Vol. 3, Issue 7 · 31 Jul 2007 · 6,819 accessesView PDFCite
Research ArticleOpen accessAll words, across the recordEffectual Deep Learning Based Digital Image Forgery Detection Model Using Ameliorate CNN, VGG 16 and VGG 19 for Copy Move and Image Splicing Classification With Enhanced PerformancePreeti Dhiman, Usha ChauhanIn this research, a pioneer passive approach for detecting and localizing tampering in images is proposed. In the past, image forgeries have created a huge impact in the world. Developments of various image processing technologies made it easier to tamper images with the objective to cover up or hide a significant feature in an image. In some situation, such as … …Journal of Computer Science, Vol. 22, Issue 10 · 3 Oct 2026 · 568 accessesView PDFCite
Research ArticleOpen accessAll words, across the recordFuzzyNET: A Fuzzy Logic-Based Framework for Enhancing Urban Efficiency in Smart CitiesHemant Kumar, Safdar Tanweer, Parul Agarwal et al.The smart city paradigm emphasizes the strategic use of IoT, Big Data, and digital technologies to optimize urban operations and improve service delivery for citizens. Embedding digital technologies within operational workflows is driven by the objective of improving efficiency and long-term sustainability. The core transformation is Artificial Intelligence (AI) that revolutionizes management of cities through automation and instantaneous decisions based … …Journal of Computer Science, Vol. 22, Issue 7 · 19 Jul 2026 · 820 accessesView PDFCite