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检索条件"任意字段=International Conference on Signal Image Technology and Internet Based Systems"

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Robust image Steganography Using DCT, GrabCut, and Quantization 3rd

Robust Image Steganography Using DCT, GrabCut, and Quantizat...

引用

3rd international conference on Network Security and Blockchain technology

作者： Kumar, Gatram Sravan Sethi, Kamalakanta Joshi, Piyush Indian Inst Informat Technol Sricity India

ISBN: (纸本)9789819780501;9789819780518

Steganography is the method by which we hide confidential information in digital media that includes images, audio, and video files. This is useful for sending confidential information without revealing its existence. This paper introduces a novel steganographic approach based on GrabCut segmentation, Advanced Encryption Standard (AES), Discrete Cosine Transform (DCT), and quantization. Our steganography approach addresses several limitations existing in traditional methods such as low embedding capacity, visual distortions in images, and vulnerability to attacks. The GrabCut algorithm is used to segment the image into foreground and background regions. DCT is used for efficient data hiding, whereas quantization helps to preserve the image quality. Our method also adds an extra layer of security by encrypting the secret message using AES before embedding. In comparison to the state-of-the-art approaches, our method gives a high Peak signal-to-Noise Ratio (PSNR) and low Mean Square Error (MSE) which indicates the efficiency of our approach. In addition to these, we also tested the robustness of our approach against different attacks.

关键词： Steganography GrabCut DCT Quantization AES PSNR MSE

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Exploration on Quality Enhancement of Art Works based on image Processing technology

Exploration on Quality Enhancement of Art Works Based on Ima...

引用

2023 international conference on Integrated Intelligence and Communication systems, ICIICS 2023

作者： Jin, Lin Shaanxi Fashion Engineering University Shaanxi Province Xi'an City China

ISBN: (纸本)9798350315455

In response to the problems existing in current methods for enhancing the quality of art works, this paper introduced a method for enhancing the quality of art works based on image processing technology. First, the edge of the image in the art works was enhanced by fuzzy enhancement technology. Then the image was balanced by the improved histogram equalization technology and the image was denoised based on the gray transformation algorithm. Finally, the processed image was processed based on the local mean algorithm. The experimental results showed that after using the proposed method to enhance the quality of art works, the peak signal-to-noise ratio and average gradient of the image have been significantly improved. The expert's peak signal-to-noise ratio score could reach up to 89.8 points and the average gradient score could reach up to 88.3 points. © 2023 IEEE.

关键词： art works histogram equalization image processing technology local mean quality enhancement

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Research on vibration signal processing system based on FPGA

Research on vibration signal processing system based on FPGA

引用

2024 international conference on image, signal Processing, and Pattern Recognition, ISPP 2024

作者： Ning, Keqing Xie, Aoyang Xing, Na Du, Minghua North China University of Technology Jinyuanzhuang Road Shijingshan District Beijing China

ISBN: (纸本)9781510680425

To overcome the limitations of software demodulation in laser vibration measurement, a hardware demodulation scheme based on a field-programmable gate array (FPGA) is designed. The reference signal is synthesized using direct digital frequency synthesis and mixed with the Doppler signal. An orthogonal baseband signal is then generated through Butterworth low-pass filtering. Subsequently, a nonlinear error compensation algorithm is introduced to rectify errors. The CORDIC algorithm is applied for inverse tangent demodulation of the laser signal, while a phase detuning algorithm addresses signal hopping issues. Following data processing, the fast Fourier algorithm is used for time-frequency analysis of the vibration data signal. The proposed algorithm undergoes theoretical analysis and experimental verification, ensuring real-time vibration detection and meeting high precision requirements. This offers a more concise and efficient solution for laser vibration measurement systems. © 2024 SPIE.

关键词： Vibration measurement

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Reliable image Enhancement based on Evidence and Generative Adversarial Networks

Reliable Image Enhancement Based on Evidence and Generative ...

引用

2024 international conference on Interactive Intelligent systems and Techniques, IIST 2024

作者： He, Zhonghai Xu, Xiang Lian, Zhuming Luo, Yu University of Electronic Science and Technology of China School of Information and Software Engineering Chengdu China

ISBN: (纸本)9798350374421

Deep learning have been widely applied in image enhancement, but traditional deep learning methods have not taken into account the uncertainty and reliability of image enhancement. We propose a new method of using generative adversarial networks to enhance image details, and introduce evidence theory to consider eliminating uncertainty during the training process of Generative Adversarial Networks. The simulation experiment on COVID-19 image data shows that the proposed method can supplement the details between high- quality images and low-quality images, improve the classification accuracy after image enhancement, and effectively increase the reliability of image enhancement. © 2024 IEEE.

关键词： Generative adversarial networks

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Real time eye-blinks detection from dry and portable EEG headset using machine learning 16

Real time eye-blinks detection from dry and portable EEG hea...

引用

16th international conference on signal-image technology and internet-based systems (SITIS)

作者： Alexandre, Houze Slephane, Binczak Univ Burgundy Dijon France

ISBN: (纸本)9781665464956

Brain computer interfaces (BCI) are applications that allows user to interact with their environment through their brain waves patterns, in this context the detection of eye blinks seems a good way to perform basic interactions. Electroencephalography (EEG) are methods that allows recording of brain waves through invasives or non invasives methods, in the cases of BCI application the lesser the invasiveness the higher the applicability. As this work will focus on pattern recognition within brain waves we developped a machine learning based approach to detect and classify different actions. Additionnaly the differentiation for each eye allows better interactivity for BCI applications.

关键词： Electroencephalography Wearable sensors signal detection signal processing Machine learning

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image detection based on the grey wolf algorithm optimization and its application in campus security 4

Image detection based on the grey wolf algorithm optimizatio...

引用

4th international conference on Computer Vision and Data Mining, ICCVDM 2023

作者： Liu, Yongchao Liu, Xiangxin Gao, Qi School of Electrical and Information Engineering Hunan Institute of Traffic Engineering Hunan Hengyang421001 China School of Electrical Engineering Shenyang University of Technology Liaoning Shenyang110870 China

ISBN: (纸本)9781510674448

In recent years, campus security accidents frequently occur. The establishment of a set of campus security systems based on artificial intelligence can allow schools, parents, and relevant government departments to make timely warnings and respond to emergencies, effectively protecting the safety of children, which has become an important task in the construction of the current campus security system. This paper designs a smart campus security system based on computer vision and internet of Things communication technology. The system is mainly analyzed by a vision algorithm, and the campus crowd detection system is designed. The YOLO algorithm based on the DarkNet53 network is mainly used to separate pedestrians from the background for pedestrian detection. Through perspective transformation technology, the center coordinate of the image pedestrian is converted into a three-dimensional coordinate, and the crowd detection and the crowd danger action detection alarm are realized. © 2024 SPIE.

关键词： Security systems

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A Novel Virtual Reality (VR) based Intelligent Guiding System

A Novel Virtual Reality (VR) based Intelligent Guiding Syste...

引用

2023 international conference on Intelligent Data Communication Technologies and internet of Things, IDCIoT 2023

作者： Fuxiong, Chen Marx College of GuangXi Talent International College GuangXi QinZhou China

ISBN: (纸本)9781665474511

A novel VR intelligent guiding system with image processing and programming methods is designed in this study. The fundamental goal of VR technology is to achieve realistic experiences and also natural technology-based human-computer interaction. human-computer interaction based on the natural technologies, so a system that achieves or partially achieves such a goal can be referred to as virtual reality systems. In the designed system, the novel contains the image processing and programming methods. (1) The novel image virtualization method is designed to provide the novel idea of the image pre-processing. (2) The suitable programming framework is designed to make the system efficient. Through the experiment on the UI and the systematic implementation, the performance is tested. © 2023 IEEE.

关键词： Virtual reality

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Research on Fire Recognition Algorithm based on Automatic image Recognition technology 6

Research on Fire Recognition Algorithm Based on Automatic Im...

引用

6th IEEE international conference on Power, Intelligent Computing and systems, ICPICS 2024

作者： Zhao, Zhijian Jiangsu Union Technical Institute Nanjing Engineering Branch Nanjing China

ISBN: (数字)9798350374315

ISBN: (纸本)9798350374315

Aiming at the research of automatic fire recognition technology, this paper discusses a fire recognition algorithm based on automatic image recognition technology. The algorithm makes full use of advanced technologies such as image processing, pattern recognition and machine learning, and effectively extracts fire signal information such as flame color and dynamic characteristics through real-time analysis of the acquired image sequence. In this paper, a deep learning model integrating multiple fire characteristics is proposed. By training large-scale fire sample data, the algorithm can improve its adaptability and recognition accuracy to different environments, lighting conditions and fire development stages. In addition, aiming at the problem of flame recognition in complex scenes, a method based on 3D convolutional neural network was designed to effectively distinguish real fire from interference factors by integrating spatiotemporal information between continuous frames. © 2024 IEEE.

关键词： Premixed flames

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IOT-based Encrypted for Knowledge Safeguarding

IOT-Based Encrypted for Knowledge Safeguarding

引用

2023 international conference on Power Energy, Environment and Intelligent Control, PEEIC 2023

作者： Krishna, Vijaya Manju Bargavi, S.K. Chaudhary, Chetan Presidency University Department of Electronics and Communication Engineering Karnataka Bangalore India Department of Computer Science and Information Technology Bangalore India Maharishi School of Engineering & Technology Maharishi University of Information Technology Uttar Pradesh India

ISBN: (纸本)9798350357769

A clandestine intelligence tactic emerged, involving the concealment of data within images reduced to a minuscule size, imperceptible to the human eye. In the modern era, characterized by the proliferation of internet technology and global internet use, the focus shifts towards fortifying the security of IoT services. The objective is to enhance the reliability and efficacy of IoT systems in managing customer interactions. This work offers a secret-key steganographic technique that enables four 128x128 -pixel grayscale cover images to contain four 128x128 -pixel hidden pictures. The used technique analyses the frequency components of the cover image using the wavelet transform. Combining steganography with encryption techniques increases the system's security and makes it more resistant to potential attackers. The primary purpose of steganography is accomplished when the generated stego-image is conveyed, successfully avoiding suspicion in both objective and subjective assessments. The recommended system is created in MATLAB R2018b on a Pentium-4 computer. The reliability of IoT services. In the internet of Things, where data encryption is in line with scientific development. © 2023 IEEE.

关键词： Covert communication Data security Encrypted Encryption techniques image concealment and PSNR (Peak signal to Noise Ratio) IoT-based Knowledge safeguarding Steganography Wavelet transform

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PLATERA: A Comprehensive Web-based System and Sensor Dataset for Activity Recognition in Households Environments 1

引用

16th international conference on Ubiquitous Computing and Ambient Intelligence

作者： Diaz-Jimenez, David Luis Lopez, Jose Gaitan-Guerrero, Juan F. Espinilla, Macarena Univ Jaen Jaen Spain

ISBN: (数字)9783031775710

ISBN: (纸本)9783031775703;9783031775710

In this work we present a web-based system, PLATERA, and an extensive dataset, Living Dataset PLATERA, designed to be used for activity recognition and monitoring in households environments. Each user of the platform can access different functions depending on their role, including activity monitoring, data management, sensor visualization, home creation, and sensor management. The dataset contains information gathered from a variety of sensors, including motion sensors that use passive infrared (PIR) technology to detect movement, anchor devices that measure Received signal Strength Indicator (RSSI) to determine location, and activity bands that record physical activity data. Temperature and humidity sensors provide accurate measurements of environmental conditions, while magnetic technology powers the opening and closing sensors that operate doors. Through this work we hope to encourage the development of sensor-based activity recognition systems.

关键词： Activity Recognition Smart Homes Sensor Data Web-based System internet of Things

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