检索结果-内蒙古大学图书馆

A component-driven distributed framework for real-time video dehazing

MULTIMEDIA TOOLS AND APPLICATIONS 2018年第9期77卷 11259-11276页

作者： Wang, Meihua Mai, Jiaming Liang, Yun Cai, Ruichu Fu, Tom Zhengjia Zhang, Zhenjie South China Agr Univ Coll Math & Informat Guangzhou Guangdong Peoples R China Guangdong Univ Technol Sch Comp Sci & Technol Guangzhou Guangdong Peoples R China Illinois Singapore Pte Ltd Adv Digital Sci Ctr Singapore Singapore

Traditional dehazing techniques, as a well studied topic in image processing, are now widely used to eliminate the haze effects from individual images. However, the state-of-the-art dehazing algorithms may not provide sufficient support to video analytics, as a crucial pre-processing step for video-based decision making systems (e.g., robot navigation), due to poor coherence and low processing efficiency of the present algorithms. This paper presents a new framework, particularly designed for video dehazing, to output coherent results in real time, with two novel techniques. Firstly, we decompose the dehazing algorithms into three generic components, namely transmission map estimator, atmospheric light estimator and haze-free image generator. They can be simultaneously processed by multiple threads in the distributed system, such that the processing efficiency is optimized by automatic CPU resource allocation based on the workloads. Secondly, a cross-frame normalization scheme is proposed to enhance the coherence among consecutive frames, by sharing the parameters of atmospheric light from consecutive frames in the distributed computation platform. The combination of the above three components enables our framework to generate highly consistent and accurate dehazing results in real-time, by using only 5 PCs connected by Ethernet.

关键词： Video dehazing image restoration image enhancement Distributed computing

来源：评论

学校读者我要写书评

暂无评论

Secure Surveillance Framework for IoT systems Using Probabilistic image Encryption

引用

IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS 2018年第8期14卷 3679-3689页

作者： Muhammad, Khan Hamza, Rafik Ahmad, Jamil Lloret, Jaime Wang, Haoxiang Baik, Sung Wook Sejong Univ Digital Contents Res Inst Intelligent Media Lab Seoul 143747 South Korea Univ Batna 2 Dept Comp Sci Batna 05078 Algeria Univ Politecn Valencia Inst Inves Gest Integrada Zonas Costeras E-46022 Valencia Spain GoPercept Lab Ithaca NY USA Cornell Univ Ithaca NY 14853 USA

This paper proposes a secure surveillance framework for Internet of things (IoT) systems by intelligent integration of video summarization and image encryption. First, an efficient video summarization method is used to extract the informative frames using the processing capabilities of visual sensors. When an event is detected from keyframes, an alert is sent to the concerned authority autonomously. As the final decision about an event mainly depends on the extracted keyframes, their modification during transmission by attackers can result in severe losses. To tackle this issue, we propose a fast probabilistic and lightweight algorithm for the encryption of keyframes prior to transmission, considering the memory and processing requirements of constrained devices that increase its suitability for IoT systems. Our experimental results verify the effectiveness of the proposed method in terms of robustness, execution time, and security compared to other image encryption algorithms. Furthermore, our framework can reduce the bandwidth, storage, transmission cost, and the time required for analysts to browse large volumes of surveillance data and make decisions about abnormal events, such as suspicious activity detection and fire detection in surveillance applications.

关键词： Industrial Internet of things (IoT) information security lightweight image encryption surveillance networks video summarization

来源：评论

学校读者我要写书评

暂无评论

Adaptive threshold method for recovered images of FMT

引用

JOURNAL OF THE OPTICAL SOCIETY OF AMERICA A-OPTICS image SCIENCE AND VISION 2018年第2期35卷 256-261页

作者： Yi, Huangjian Wei, Hongna Peng, Jinye Hou, Yuqing He, Xiaowei Northwest Univ Sch Informat Sci & Technol Xian 710069 Shaanxi Peoples R China

This paper proposes a post-processing strategy for recovered images of fluorescence molecular tomography. A threshold value is adaptively obtained from the recovered images without external interference, which is objective because it is extracted from the reconstructed result. The recovered images from simulation experiments and physical phantom experiments are processed by this threshold method. And by visualization, the processed images are clearer than those with no post-processing. The full width at half-maximum and contrast-to-noise ratio are then utilized to further verify the effectiveness of the post-processing method, being capable of removing spurious information from the original images, thus bringing convenience to users. (C) 2018 Optical Society of America

关键词： CCD cameras Extinction coefficients Finite element method image processing Imaging systems Reconstruction algorithms

来源：评论

学校读者我要写书评

暂无评论

image steganography using uncorrelated color space and its application for security of visual contents in online social networks

引用

FUTURE GENERATION COMPUTER systems-THE INTERNATIONAL JOURNAL OF ESCIENCE 2018年 86卷 951-960页

作者： Muhammad, Khan Sajjad, Muhammad Mehmood, Irfan Rho, Seungmin Baika, Sung Wook Sejong Univ Intelligent Media Lab Digital Contents Res Inst Coll Elect & Informat Engn Seoul South Korea Islamia Coll Peshawar Dept Comp Sci Digital Image Proc Lab Peshawar Pakistan Sejong Univ Dept Comp Sci & Engn Seoul South Korea Sungkyul Univ Dept Media Software Anyang South Korea

image steganography is a growing research field, where sensitive contents are embedded in images, keeping their visual quality intact. Researchers have used correlated color space such as RGB, where modification to one channel affects the overall quality of stego-images, hence decreasing its suitability for steganographic algorithms. Therefore, in this paper, we propose an adaptive LSB substitution method using uncorrelated color space, increasing the property of imperceptibility while minimizing the chances of detection by the human vision system. In the proposed scheme, the input image is passed through an image scrambler, resulting in an encrypted image, preserving the privacy of image contents, and then converted to HSV color space for further processing. The secret contents are encrypted using an iterative magic matrix encryption algorithm (IMMEA) for better security, producing the cipher contents. An adaptive LSB substitution method is then used to embed the encrypted data inside the V-plane of HSV color model based on secret key-directed block magic LSB mechanism. The idea of utilizing HSV color space for data hiding is inspired from its properties including de-correlation, cost-effectiveness in processing, better stego image quality, and suitability for steganography as verified by our experiments, compared to other color spaces such as RGB, YCbCr, HSI, and Lab. The quantitative and qualitative experimental results of the proposed framework and its application for addressing the security and privacy of visual contents in online social networks (OSNs), confirm its effectiveness in contrast to state-of-the-art methods. (C) 2016 Elsevier B.V. All rights reserved.

关键词： Information security Online social networks image steganography Security in social networking image and video processing Uncorrelated color space

来源：评论

学校读者我要写书评

暂无评论

Edge Computing Framework for Cooperative Video processing in Multimedia IoT systems

引用

IEEE TRANSACTIONS ON MULTIMEDIA 2018年第5期20卷 1126-1139页

作者： Long, Changchun Cao, Yang Jiang, Tao Zhang, Qian Huazhong Univ Sci & Technol Sch Elect Informat & Commun Wuhan 430074 Hubei Peoples R China Hong Kong Univ Sci & Technol Dept Comp Sci & Engn Hong Kong Peoples R China

Multimedia Internet-of-Things (IoT) systems have been widely used in surveillance, automatic behavior analysis and event recognition, which integrate image processing, computer vision, and networking capabilities. In conventional multimedia IoT systems, videos captured by surveillance cameras are required to be delivered to remote IoT servers for video analysis. However, the long-distance transmission of a large volume of video chunks may cause congestions and delays due to limited network bandwidth. Nowadays, mobile devices, e.g., smart phones and tablets, are resource-abundant in computation and communication capabilities. Thus, these devices have the potential to extract features from videos for the remote IoT servers. By sending back only a few video features to the remote servers, the bandwidth starvation of delivering original video chunks can be avoided. In this paper, we propose an edge computing framework to enable cooperative processing on resource-abundant mobile devices for delay-sensitive multimedia IoT tasks. We identify that the key challenges in the proposed edge computing framework are to optimally form mobile devices into video processing groups and to dispatch video chunks to proper video processing groups. Based on the derived optimal matching theorem, we put forward a cooperative video processing scheme formed by two efficient algorithms to tackle above challenges, which achieves suboptimal performance on the human detection accuracy. The proposed scheme has been evaluated under diverse parameter settings. Extensive simulation confirms the superiority of the proposed scheme over other two baseline schemes.

关键词： Edge computing multimedia IoT cooperative video processing human detection accuracy

来源：评论

学校读者我要写书评

暂无评论

2D Logistic-Sine-coupling map for image encryption

引用

SIGNAL processing 2018年 149卷 148-161页

作者： Hua, Zhongyun Jin, Fan Xu, Binxuan Huang, Hejiao Harbin Inst technol Shenzhen Grad Sch Sch Comp Sci & Technol Shenzhen 518055 Peoples R China

image encryption is a straightforward strategy to protect digital images by transforming images into un-recognized ones. The chaos theory is a widely used technology for image encryption as it has many significant properties such as ergodicity and initial state sensitivity. When chaotic systems are used in image encryption, their chaos performance highly determines the security level. This paper presents a two-dimensional (2D) Logistic-Sine-coupling map (LSCM). Performance estimations demonstrate that it has better ergodicity, more complex behavior and larger chaotic range than several newly developed 2D chaotic maps. Utilizing the proposed 2D-LSCM, we further propose a 2D-LSCM-based image encryption algorithm (LSCM-IEA), which adopts the classical confusion-diffusion structure. A permutation algorithm is designed to permutate image pixels to different rows and columns while a diffusion algorithm is developed to spread few changes of plain-image to the whole encrypted result. We compare the efficiency of LSCM-IEA with several advanced algorithms and the results show that it has higher encryption efficiency. To show the superiority of LSCM-IEA, we also analyze the security of LSCM-IEA in terms of key security, ability of defending differential attack, local Shannon entropy and contrast analysis. The analysis results demonstrate that LSCM-IEA has better security performance than several existing algorithms. (C) 2018 Published by Elsevier B.V.

关键词： Chaos Cryptography image encryption Multimedia security

来源：评论

学校读者我要写书评

暂无评论

Internal Fusion Functions

引用

IEEE TRANSACTIONS ON FUZZY systems 2018年第2期26卷 487-503页

作者： Paternain, Daniel Campion, Maria Jesus Mesiar, Radko Perfilieva, Irina Bustince, Humberto Univ Publ Navarra Dept Automat & Computac Pamplona 31006 Spain Univ Publ Navarra Inst Smart Cities Pamplona 31006 Spain Univ Publ Navarra Dept Matemat Pamplona 31006 Spain Univ Publ Navarra Inst Adv Res Business & Econ Pamplona 31006 Spain Univ Ostrava Inst Res & Applicat Fuzzy Modelling NSC IT4Innovat CZ-70103 Ostrava Czech Republic Slovak Univ Technol Bratislava Dept Math & Descript Geometry Fac Civil Engn Bratislava 81107 Slovakia

In this paper, we investigate a mechanism for fusing a set of inputs (values) in such a way that the procedure does not create new information during the process. In order to do so, we introduce internal fusion functions, a family of fusion functions in which the output always corresponds to some of the given inputs. We perform an in-depth theoretical study of internal fusion functions and, furthermore, we propose three different construction methods, which are based on 1) an arbitrary fusion function and a partition of the domain;2) a linear order;and 3) a minimization mechanism using penalty functions. Finally, we illustrate this paper with the application of internal fusion functions in two image processing algorithms where a set of images must be fused, namely multifocus image and denoised image fusion, as well as in an example of multiclass problem, where we fuse a set of score matrices obtained by several classification algorithms.

关键词： Aggregation functions fusion functions image fusion internal fusion functions penalty functions

来源：评论

学校读者我要写书评

暂无评论

Efficient image Secret Sharing Using Parallel processing for Row-Wise Encoding and Decoding 3rd

Efficient Image Secret Sharing Using Parallel Processing for...

引用

3rd International Conference on Intelligent Computing and Applications (ICICA)

作者： Patil, Sonali D. Pimpri Chinchwad Coll Engn Dept Comp Engn Pune 411044 Maharashtra India

ISBN: (纸本)9789811055201;9789811055195

Secret sharing plays a vital role in secure transmission of secret information in the form of images. Majority of the secret sharing algorithms are build using Lagrange's Interpolation due its information theoretic secure property. These image-sharing algorithms use pixel values of images for construction of shares and uses share's pixel values for reconstruction of a secret. The larger the size of an image the pixel values are more. The problem with such image secret sharing algorithm is its large computational complexity while implementing it in real-time application. A concurrent approach is proposed here for row-wise encoding and decoding. The concurrent approach helps to expedite the construction and reconstruction process. The proposed approach is implemented using UNIX-based Quadra Core system. The algorithm improves the time complexity of the construction and reconstruction process. The step-up of the concurrent algorithm is relatively even.

关键词： Secret sharing Parallel algorithm Cryptography image processing

来源：评论

学校读者我要写书评

暂无评论

Monitoring and Detection of Combustible Gas Leakage by Using Infrared Imaging

Monitoring and Detection of Combustible Gas Leakage by Using...

引用

IEEE International Conference on Imaging systems and Techniques (IST)

作者： Liu, Binglu Ma, Haocheng Zheng, Xiaoping Peng, Lihui Xiao, Anshan Tsinghua Univ Dept Automat Beijing Peoples R China Res Inst Safety Engn State Key Lab Safety & Control Chem Qingdao Peoples R China

ISBN: (纸本)9781538666289

In this paper, an infrared thermal imaging system is developed for combustible gas leakage monitoring and detection. The related imaging processing and gas leakage detection algorithms are presented. The gas leakage monitoring and detection experiments regarding three different scenes, including two indoor scenes and one outdoor scene, are carried out. The preliminary results show that the proposed imaging system and the algorithms are of detecting the leakage of 1% isobutane at 0.2L/min.

关键词： Gas leakage detection Infrared imaging image processing Frames subtraction Region of interest

来源：评论

学校读者我要写书评

暂无评论

A critique of some rough approximations of the DCT 22

A critique of some rough approximations of the DCT

引用

Signal processing - algorithms, Architectures, Arrangements, and Applications (SPA)

作者： Parfieniuk, Marek Park, Sang Yoon Bialystok Tech Univ Fac Comp Sci Wiejska 45a PL-15351 Bialystok Poland Myongji Univ Dept Elect Engn Yongin 17058 South Korea

ISBN: (纸本)9788362065332

Recently, rough approximations of the Discrete Cosine Transform (DCT) have been proposed that can be implemented as multiplier-less, low-area, and low-power circuits. Promoters of such algorithms considered simpler and simpler data-flow graphs, by using fewer and fewer additions and bit-shifts compared to finer approximations developed at the turn of the 20th and 21th centuries. However, they neglected to carefully check whether an approximation works like the original, and from another point of view, they ignore well-known essential results of the theory and practice of image transforms. This paper shows that one of such solutions is not as perfect as advertised, or even seems to be useless, suffering from inherent disadvantages of non-selective filters and non-smooth basis functions. We point out what is lacking in the published evaluations of the algorithm and analyse its properties, demonstrating that it behaves differently from the DCT and thus is suitable to neither image compression nor pattern recognition. In particular, we show that it poorly decorrelates samples of natural images, and unpleasant in-block artefacts appear in decoded pictures.

关键词： Discrete cosine transforms image coding Distortion Signal processing algorithms Approximation algorithms Pattern recognition

来源：评论

学校读者我要写书评

暂无评论

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案：

请选择收藏分类：

通借通还

建议与咨询 留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案： 新增检索档案 确定 取消

请选择收藏分类： 新增自定义分类 确定 取消

通借通还

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

请选择保存的检索档案：

请选择收藏分类：