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Increasing Distance Increasing Bits Substitution (IDIBS) Algorithm for Implementation of VTVB Steganography

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Computer Modeling in Engineering & Sciences 2018年第10期117卷 1-16页

作者： sahib khan Arslan Arif Syed Tahir Hussain Rizvi Nasir Ahmad Department of Electronics and Telecommunications Politecnico di Torino10129 TorinoItaly DAUIN Politecnico di Torino10129 TorinoItaly Department of Electronic and Electrical Engineering Loughborough UniversityUnited Kingdom

Cryptography and steganography are two important and related fields of information ***,steganography is slightly different in the sense that it hides the existence of secret information from unauthorized *** is one of the most appealing research domains,have applications like copyright protection,data integrity protection and manipulation *** steganography techniques have been proposed in ***,in this work a new information hiding algorithm is *** proposed technique de-correlates frequency components of cover image using discrete cosine transform and uses the least significant bits of frequency components for hiding secret *** tech-nique hides variable number of bits of secret message in different frequency ***,it hides different amount of secret information in different regions of cover im-age and results in enhancement of *** algorithm has the flexibility to change the hiding capacity and quality of final stego *** has been observed from experimental results that a hiding a capacity from 3%to 43%can be achieved with significantly good quality of 41 dB to 37 dB in term of peak signal to noise *** successful recovery of the hidden information need the pattern,called stego key,in which is used in hiding *** algorithm provides twofold security;hiding keeps the existence of hidden information secret and the large key size makes the retrieval of hidden information difficult for intruders.

关键词： VTVB steganography image processing information security data hiding

Multiquadric Radial Basis Function Approximation Scheme for Solution of Total Variation Based Multiplicative Noise Removal Model

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Computer Modeling in Engineering & Sciences 2021年第1期126卷 55-88页

作者： Mushtaq Ahmad khan Ahmed BAltamimi Zawar Hussain khan Khurram Shehzad Khattak sahib khan Asmat Ullah Murtaza Ali University of Engineering and Technology Mardan23200Pakistan University of Hail HailSaudi Arabia University of Engineering and Technology Peshawar25000Pakistan Politecnico di Torino Torino10129Italy

This article introduces a fastmeshless algorithm for the numerical solution nonlinear partial differential equations(PDE)by Radial Basis Functions(RBFs)approximation connected with the Total Variation(TV)-basedminimization functional and to show its application to image denoising containing multiplicative *** capabilities used within the proposed algorithm have not only the quality of image denoising,edge preservation but also the property of minimization of staircase effect which results in blocky effects in the *** is worth mentioning that the recommended method can be easily employed for nonlinear problems due to the lack of dependence on a mesh or integration *** numerical investigations and corresponding examples prove the effectiveness of the recommended algorithm regarding the robustness and visual improvement as well as peak-signal-to-noise ratio(PSNR),signal-to-noise ratio(SNR),and structural similarity index(SSIM)corresponded to the current conventional TV-based schemes.

关键词： Denoised image multiplicative and speckle noises total variation(TV)filter Euler-Lagrange restoration equation multiquadric radial basis functions meshless and mesh-based schemes

3D Head Pose Estimation through Facial Features and Deep Convolutional Neural Networks

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Computers, Materials & Continua 2021年第2期66卷 1757-1770页

作者： Khalil khan Jehad Ali Kashif Ahmad Asma Gul Ghulam Sarwar sahib khan Qui Thanh Hoai Ta Tae-Sun Chung Muhammad Attique Department of Computer Science and Software Engineering Pak-Austria Fachhochschule:Institute of Applied Sciences and TechnologyHaripur-KPKPakistan Department of Computer Engineering and Department of AI Convergence Network Ajou UniversitySuwon16499South Korea Hamad Bin Khalifa University DohaQatar Department of Statistics Shaheed Benazir Bhutto Women UniversityPeshawarPakistan Department of Software Engineering University of Azad Jammu and KashmirPakistan Department of Electronics and Telecommunications Politecnico di TorinoTorino10129Italy Institute of Research and Development Duy Tan UniversityDanang550000Vietnam Department of Computer Engineering Ajou UniversitySuwon16499Korea Department of Software Sejong UniversitySeoul05006South Korea

Face image analysis is one among several important cues in computer *** the last five decades,methods for face analysis have received immense attention due to large scale applications in various face analysis *** parsing strongly benefits various human face image analysis tasks inducing face pose *** this paper we propose a 3D head pose estimation framework developed through a prior end to end deep face parsing *** have developed an end to end face parts segmentation framework through deep convolutional neural networks(DCNNs).For training a deep face parts parsing model,we label face images for seven different classes,including eyes,brows,nose,hair,mouth,skin,and *** extract features from gray scale images by using *** train a classifier using the extracted *** use the probabilistic classification method to produce gray scale images in the form of probability maps for each dense semantic *** use a next stage of DCNNs and extract features from grayscale images created as probability maps during the segmentation *** assess the performance of our newly proposed model on four standard head pose datasets,including Pointing’04,Annotated Facial Landmarks in the Wild(AFLW),Boston University(BU),and ICT-3DHP,obtaining superior results as compared to previous results.

关键词： Face image analysis face parsing face pose estimation

On Hiding Secret Information in Medium Frequency DCT Components Using Least Significant Bits Steganography

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Computer Modeling in Engineering & Sciences 2019年第3期118卷 529-546页

作者： sahib khan M A Irfan Arslan Arif Syed Tahir Hussain Rizvi Asma Gul Muhammad Naeem Nasir Ahmad Department of Electronics and Telecommunications Politecnico di Torino10129 TorinoItaly Department of Computer Engineering University of LahorePakistan Department of Statistics Shaheed Benazir Bhutto Women University PeshawarPakistan Department of Computer Science University of PeshawarPakistan Department of Electronic and Electrical Engineering Loughborough UniversityUnited Kingdom

This work presents a new method of data hiding in digital images,in discrete cosine transform *** proposed method uses the least significant bits of the medium frequency components of the cover image for hiding the secret information,while the low and high frequency coefficients are kept *** unaltered low frequency DCT coefficients preserves the quality of the smooth region of the cover image,while no changes in the high DCT coefficient preserve the quality of the *** the medium frequency components have less contribution towards energy and image details,so the modification of these coefficients for data hiding results in high quality stego *** distortion due to the changes in the medium frequency coefficients is insignificant to be detected by the human visual *** proposed methods demonstrated a hiding capacity of 43:11%with the stego image quality of a peak signal to the noise ration of 36:3 dB,which is significantly higher than the threshold of 30 dB for a stego image *** proposed technique is immune to steganalysis and has proved to be highly secured against both spatial and DCT domain steganalysis techniques.

关键词： DCT steganography image processing information security data hiding steganalyisis

Implementation of Variable Tone Variable Bits Gray-Scale Image Stegnography Using Discrete Cosine Transform

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Journal of Signal and Information Processing 2013年第4期4卷 343-350页

作者： sahib khan Muhammad Nawaz khan Somia Iqbal Syed Yaqoob Shah Nasir Ahmad Department of Electrical Engineering University of Engineering & Technology Peshawar Pakistan

Secure exchange of information is the basic need of modern digital world of e-communication which is achieved either by encrypting information or by hiding information in other information called cover media. Concealing information requires a well designed technique of Stegnography. This work presents a technique, variable tone variable bits (VTVB) Stegnography, to hide information in a cover image. The VTVB Stegnography hides variable data in discrete cosine transform (DCT) coefficients of the cover image. VTVB Stegnography provides variable data hiding capacity and variable distortion. Additional large data hiding this technique provide extra security due to the large key size making VTVB Stegnography technique much more immune to steganalysis. The hiding makes the existence of information imperceptible for steganalysis and the key of keeping a secret makes the recovering of information difficult for an intruder. The key size is depending on cover image and numbers of bits of discrete cosine transform (DCT) coefficients used for information embedding. This is a very flexible technique and can be used for low payload applications, e.g. watermarking to high payload applications, e.g. network Stegnography.

关键词： Information Security Image Processing Stegnography Steganalysis Discrete Cosine Transform (DCT)

GHAZI-BAROTHA水电工程尾部节制闸闸下出流水流特性试验研究

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水力发电学报 2000年第2期19卷 43-48页

作者：费文才曹学德阿密尔.沙比.克罕索菲.哈买德.克罕武汉水利电力大学武汉430072 巴基斯坦水利水电开发委员会

通过 GHAZI- BAROTHA水电工程尾部节制闸水工模型试验 ,获得了过闸流量 -开度 -尾水位水流特性曲线。分析比较了理论计算与试验实测过闸流量 ,对过闸流量与尾水位作了相关分析 ,经试验数据回归分析计算 ,提出了计算闸孔淹没出流时淹没... 详细信息

通过 GHAZI- BAROTHA水电工程尾部节制闸水工模型试验 ,获得了过闸流量 -开度 -尾水位水流特性曲线。分析比较了理论计算与试验实测过闸流量 ,对过闸流量与尾水位作了相关分析 ,经试验数据回归分析计算 ,提出了计算闸孔淹没出流时淹没系数的经验算式 ,改进了传统采用查图表获得淹没系数的不便方法。

关键词：尾部节制闸水工模型试验水流特性水电工程