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检索条件"任意字段=2023 IEEE International Conference on Image Processing and Computer Applications, ICIPCA 2023"

共 4758 条记录，以下是431-440 订阅

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Strategies for Strengthening Security in image Watermarking: A Critical Review 7

Strategies for Strengthening Security in Image Watermarking:...

引用

7th international conference on image Information processing, ICIIP 2023

作者： Dewangan, Prachee Swain, Debabala Swain, Monalisa Rama Devi Women's University Dept. of Computer Science Bhubaneswar India Shailabala Women's College Dept. of Computer Science Cuttack India

ISBN: (纸本)9798350371406

The propagation of digital content and its ease of distribution over the internet have raised concerns regarding the protection of intellectual property and its prevention from unauthorized usage. One such effective method for safeguarding digital images is watermarking. However, as digital manipulation and counterfeiting techniques continue to advance, there is a growing need to strengthen the security of image watermarking systems. This paper provides an overview of such key strategies used to enhance security in images using watermarking. © 2023 ieee.

关键词： image watermarking

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Quantum Computing for image processing and Artificial Vision: Innovations in Advanced Quantum Physics 5

Quantum Computing for Image Processing and Artificial Vision...

引用

5th international conference on Pattern Analysis and Intelligent Systems, PAIS 2023

作者： Nouioua, Tarek Yahiaoui, Nour El-Houda University of Tebessa Faculty of Exact Sciences and Sciences of Nature and Life Department of Mathematics and Computer Sciences Tebessa Algeria Photonics Optics Professional Formation Center Dris Mohamed El-Hadi Residential Formation Tebessa Algeria

ISBN: (纸本)9798350381450

This paper delves into the groundbreaking potential of quantum computing, with a primary focus on qubits and their wide-ranging applications. It explores the fundamental principles of quantum physics, such as entanglement and superposition, demonstrating how these principles underpin innovative approaches to data representation and processing. Real-world demonstrations utilizing quantum hardware underscore the exponential advantages that quantum computing offers in terms of both speed and storage capacity. Within the realm of quantum computing, one major objective is to address the issue of decoherence, and the article proposes the utilization of photons as qubits due to their virtually infinite decoherence times. This introduction of Photonic quantum computing paves the way for a robust and scalable quantum computing approach, with specific objectives centered around enhancing the stability and scalability of quantum systems. Furthermore, the article explores the fascinating domain of quantum image processing, aiming to revolutionize the fields of image analysis and compression. Quantum image representations are envisioned to significantly enhance storage efficiency, and the article sets objectives to develop practical quantum algorithms for image processing tasks. To illustrate the practicality of these advancements, the article showcases a real-world implementation of quantum edge detection, emphasizing its promising applications not only in medical imaging but also in advancing artificial vision systems. © 2023 ieee.

关键词： image enhancement

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Security Risk Assessment of image Classification Model Based on ANP-TOPSIS

Security Risk Assessment of Image Classification Model Based...

引用

2023 international conference on Networking and Network applications, NaNA 2023

作者： Zhang, Zhiheng Liu, Zeyu Yang, Li Zhe, Tingbo Wu, Jian School of Computer Science and Technology Xidian University Xi'an China Guiyang Aviation Motor Co. Ltd Guizhou China

ISBN: (纸本)9798350327380

Recently, machine learning algorithms have been widely used in the fields of image processing, network security and natural language processing, etc., profoundly affecting human life. However, machine learning algorithms have the characteristics of uncertain output, vulnerability to adversarial attacks, and unexplained decision-making processes, which seriously threaten the security of machine learning-based face recognition, Malware detection, and autonomous driving. Hence, it is imperative for the security practitioners to evaluate algorithm security to ensure that security needs are met. In this article, the authors propose a set of security assessment index systems and methods for machine learning algorithms for image classification scenarios: Refer to the security specification of machine learning algorithms and requirements to construct the security index system of image classification model. Furthermore, The Analytic Network Process(ANP) is applied to quantify the index weights and the Technique for Order Preference by Similarity to an Ideal Solution(TOPSIS) is applied to screen the optimal model, and finally the sensitivity analysis is applied to prove the stability of the proposed method. Experimental results show that this method has certain value and effect in assessing the security and model screening of image classification models. © 2023 ieee.

关键词： image classification

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TDMF: Text-Guided Denoising and Interactive Medical image Fusion

TDMF: Text-Guided Denoising and Interactive Medical Image Fu...

引用

2025 ieee international conference on Acoustics, Speech, and Signal processing, ICASSP 2025

作者： Dong, Aimei Xu, Jingyuan Wang, Long Lv, Guohua Zhao, Guixin Cheng, Jinyong Qilu University of Technology Shandong Academy of Sciences Jinan China Faculty of Computer Science and Technology Qilu University of Technology Shandong Academy of Sciences China Shandong Provincial Key Laboratory of Computing Power Internet and Service Computing Shandong Fundamental Research Center for Computer Science Jinan China

ISBN: (纸本)9798350368741

Multimodal image fusion aims to merge features from different modalities to create a comprehensively representative image. However, existing medical image fusion methods often struggle to handle noise generated during image acquisition, significantly diminishing their impact on visual quality. To address these challenges, we propose a semantically text-guided medical image fusion model, named TDMF. Specifically, TDMF guides classical image fusion through textual semantics and effectively coordinates the resolution of degradation and interaction issues during the fusion process. By integrating text encoders and interactive fusion modules, TDMF establishes a unified framework for denoising and interactive fusion of medical images. Extensive experiments have demonstrated that our proposed text-guided image fusion strategy offers significant advantages over state-of-the-art methods in medical image fusion performance. © 2025 ieee.

关键词： denoising Medical image fusion text-guided fusion

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Research and Design of Rural Smart Tourism System Based on Cloud Computing

Research and Design of Rural Smart Tourism System Based on C...

引用

image processing and computer applications (icipca), ieee international conference on

作者： Ying Wan Computer and Information Engineering College Guizhou University of Commerce Guiyang Guizhou China

ISBN: (数字)9798350360240

ISBN: (纸本)9798350384161

The travel industry is undergoing profound changes with the continuous development of information technology. One such emerging technology is cloud computing, which boasts powerful computing power, massive storage space, and efficient resource sharing capabilities. Based on Ali-Cloud's ESC and Baidu-Cloud's EasyDL cloud computing platform, this paper focuses on the definition, functions and architecture of cloud computing to explore how to design a rural smart tourism system to assist the development of rural tourism.

关键词： computers Cloud computing image processing Tourism industry computer architecture Market research Space exploration Resource management Internet of Things Information technology

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Comparison of Modern Compression Standards on Medical images for Telehealth applications

Comparison of Modern Compression Standards on Medical Images...

引用

ieee international conference on Consumer Electronics (ICCE)

作者： Wang, Y. Tohidypour, H. R. Pourazad, M. T. Nasiopoulo, P. Leung, V. C. M. Univ British Columbia Elect & Comp Engn Vancouver BC Canada

ISBN: (纸本)9781665491303

Telehealth applications, such as remote diagnosis and examination, have become more and more popular nowadays. However, the generated large number of medical images and their impractical digital size when it comes to telehealth have brought pressure on communication infrastructures. More specifically, the image processing time has increased dramatically due to the size of the digitized images, while requiring substantial transmission bandwidth and storage space. For these reasons, medical image compression has become a hot research topic. While image compression techniques have evolved over several generations, it remains an open question how these standards will perform when it comes to sensitive oversized medical image content. In this paper, the emerging compression standard High Efficiency Video Coding (HEVC) and the next generation standard Versatile Video Coding (VVC) are evaluated on two different medical image datasets, covering the entire range of quality levels. The results of this study show that the VVC standard overperforms HEVC on raw medical image compression both visually and quantitatively, with the performance gap narrowing when dealing with pre-compressed medical images.

关键词： medical image telehealth compression HEVC VVC

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Research on Algorithm and Technology of computer Intelligent image Recognition 4

Research on Algorithm and Technology of Computer Intelligent...

引用

4th international conference for Emerging Technology, INCET 2023

作者： Wang, Huihui Xia, Liling Gu, Jianhua Yancheng Polytechnic College Department of Information and Security 224005 China

ISBN: (纸本)9798350335750

The research of computer intelligent image recognition algorithm and technology is the research field of the development of computer intelligent image recognition algorithm. The main purpose of this research field is to develop efficient algorithms for computer intelligent image recognition, which can be used in various applications, such as face detection, object tracking and video surveillance. In order to achieve these goals, there are different methods available, such as neural network, support vector machine (SVM), genetic algorithm and so on. What are the advantages of computer intelligent image recognition algorithm and technology research? The main advantage related to this research area is that it helps to improve Carl's efficiency © 2023 ieee.

关键词： Genetic algorithms

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Intelligent English Recognition System Based on computer image Algorithm

Intelligent English Recognition System Based on Computer Ima...

引用

2023 ieee international conference on Integrated Circuits and Communication Systems, ICICACS 2023

作者： Chen, Ou Chengdu Neusoft University Chengdu China

ISBN: (纸本)9798350398465

With the acceleration of the global informatization process, improving the efficiency of information processing has become a top priority. The development of science and technology has made the information processing methods advance by leaps and bounds, and the trend of 'electronic information' attracts the participation of all walks of life. This paper aims to study the intelligent English recognition system based on computer image algorithm. This paper firstly gives a brief overview of the current situation and development of intelligent English recognition technology. In view of the current demand for accurate and fast English recognition on the market, the system can automatically distinguish and recognize input images and extract image information. This paper first describes the proposed system from three parts: image preprocessing, document image retrieval, preliminary analysis, and information extraction. In this case, angle detection is faster and can recognize English words more accurately. Experiments show that the combined feature extraction algorithm in this paper has an effective extraction accuracy rate of 80% or a lie, and the optimal learning initial rate is 0.01. © 2023 ieee.

关键词： Informatization

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Perceptual Artifacts Localization for image Synthesis Tasks

Perceptual Artifacts Localization for Image Synthesis Tasks

引用

ieee/CVF international conference on computer Vision (ICCV)

作者： Zhang., Lingzhi Xu, Zhengjie Barnes, Connelly Zhou, Yuqian Liu, Qing Zhang, He Amirghodsi, Sohrab Lin, Zhe Shechtman, Eli Shi, Jianbo Adobe Inc San Jose CA 95110 USA Univ Penn Philadelphia PA 19104 USA

ISBN: (纸本)9798350307184

Recent advancements in deep generative models have facilitated the creation of photo-realistic images across various tasks. However, these generated images often exhibit perceptual artifacts in specific regions, necessitating manual correction. In this study, we present a comprehensive empirical examination of Perceptual Artifacts Localization (PAL) spanning diverse image synthesis endeavors. We introduce a novel dataset comprising 10,168 generated images, each annotated with per-pixel perceptual artifact labels across ten synthesis tasks. A segmentation model, trained on our proposed dataset, effectively localizes artifacts across a range of tasks. Additionally, we illustrate its proficiency in adapting to previously unseen models using minimal training samples. We further propose an innovative zoom-in inpainting pipeline that seamlessly rectifies perceptual artifacts in the generated images. Through our experimental analyses, we elucidate several invaluable downstream applications, such as automated artifact rectification, non-referential image quality evaluation, and abnormal region detection in images. The dataset and code are released here: https://***/PAL4VST

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An image encryption algorithm based on multi-chaotic systems and DNA 2

An image encryption algorithm based on multi-chaotic systems...

引用

2nd international conference on image processing, computer Vision and Machine Learning, ICICML 2023

作者： Shi, Jiawei Xiong, Feng Shanghai University School of Mechatronic Engineering and Automation Shanghai China

ISBN: (纸本)9798350331417

In this research, we provide a method for encrypting digital images that is based on DNA block encoding and multi-chaotic systems. First, create a scrambling matrix using the one-dimensional logistic chaotic map, then split both the plain image matrix and the scrambling matrix into sub-blocks of the same size. Next, for DNA encoding, decoding, and operation between the respective sub-blocks, four chaotic sequences produced by Lorenz hyperchaotic system are employed. We may finally obtain the cipher picture using the two-dimensional logistic map of the scrambled image. The technique in this study performs well in simulation studies for statistical analysis, sensitivity analysis, and robustness analysis. As a result, the encryption method can withstand many typical assaults and provide the level of security required. © 2023 ieee.

关键词： component DNA encoding image encryption Logistic chaotic map

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