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检索条件"任意字段=Conference on Applications of Digital Image Processing XXXIX"

共 10160 条记录，以下是1-10 订阅

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A Comparative Analysis of digital image Forgery Detection Methods 5th

A Comparative Analysis of Digital Image Forgery Detection Me...

引用

5th International conference on Data Science, Machine Learning and applications

作者： Prashanth, Mallellu Sai Karnati, Ramesh Velpuru, Muni Sekhar Reddy, H. Venkateshwara Vardhaman Coll Engn Dept Comp Sci & Engn Hyderabad India Vardhaman Coll Engn Dept Informat Technol Hyderabad India

ISBN: (纸本)9789819780334;9789819780310;9789819780303

digital image Forgery Detection refers to the process of identifying whether a digital image has been manipulated or altered in any way, with the intention of deceiving or misleading the viewer. digital image forgery detection has become an increasingly important research area due to the widespread availability of powerful image editing tools and the potential misuse of manipulated images. In this survey paper, we present a comprehensive comparative analysis of various digital image forgery detection methods. Our objective is to provide researchers, practitioners, and stakeholders with a comprehensive understanding of the existing approaches and their effectiveness in detecting different types of image forgeries. The survey begins by outlining the different types of digital image forgeries, including copy-move, splicing, retouching, and more. We then proceed to review and compare a range of forgery detectionmethods proposed in the literature. These methods include traditional techniques based on handcrafted features, as well as more recent approaches that leverage advanced machine learning and deep learning algorithms. For each method, we discuss its underlying principles, key components, and specific algorithms utilized. We also analyse the strengths and limitations of each method, considering factors such as detection accuracy, robustness to image transformations, computational efficiency, and the ability to handle complex forgery scenarios. Additionally, we examine the evaluation metrics employed to assess the performance of these methods, including detection accuracy, localization accuracy, processing time, and other relevant metrics. Through our comparative analysis, we identify common trends, challenges, and advancements in the field of digital image forgery detection. We highlight the trade-offs between different methods and provide insights into their suitability for specific forgery types and real-world applications. Furthermore, we discuss the limitations

关键词： image digital Forgery Detection

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Performance Comparison of Different digital image Filters Used for Biomedical Signals 8th

Performance Comparison of Different Digital Image Filters U...

引用

8th International conference on Internet of Things and Connected Technologies, ICIoTCT 2023

作者： Sudagani Jyothi Muthu Krishnammal, P. School of Electronics Engineering VIT—AP University Andhra Pradesh Amaravati India School of Electronics Engineering VIT—AP University Andhra Pradesh Amaravati India

ISBN: (纸本)9789819757855

Getting highly accurate output in biomedical data processing concerning biomedical signals and images is impossible because biomedical data are generated from various electronic and electrical resources that can deliver the data with noise. Filtering is widely used for signal and image processing applications in medical, multimedia, communications, biomedical electronics, and computer vision. The biggest problem in biomedical signal and image processing is developing a perfect filter for the system. digital filters are more advanced in precision and stability than analog filters. digital filters are getting more attention due to the increasing advancements in digital technologies. Hence, most medical image and signal processing techniques use digital filters for preprocessing tasks. This paper briefly explains various filters used in medical image and signal processing. MATLAB is a famous mathematical, analytical software with a platform and built-in tools to design filters and experiment with different inputs. Even though this paper implements filters like mean, median, weighted average, Gaussian, and bilateral in Python to verify their performance in terms of mean square error (MSE) and similarity index (SI), a suitable filter can be selected for biomedical applications by comparing their performance. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2025.

关键词： Median filters

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Linear operators for filtering digital images based on two-dimensional local spline of the fifth order 3

Linear operators for filtering digital images based on two-d...

引用

3rd International conference on Cyber Hygiene and Conflict Management in Global Information Networks, CH and CMiGIN 2024

作者： Prystavka, Pylyp Cholyshkina, Olha Dyriavko, Oleh National Aviation University Liubomyra Huzara Ave. 1 Kyiv03058 Ukraine Interregional Academy of Personnel Management Frometivska Str. 2 Kyiv03039 Ukraine

The paper explores the development and application of linear operators for filtering digital images, particularly through the use of fifth-order polynomial splines. The authors emphasize the importance of high-quality, high-speed image processing in enhancing cybersecurity systems, which require accurate and real-time data analysis for applications such as military intelligence and UAV navigation. They propose using B-splines, which offer precise approximation capabilities while maintaining computational efficiency. The paper outlines a method for representing these splines in a manner that reduces computational complexity, making them suitable for real-time processing in environments with high data throughput demands. The research highlights the advantages of using wider window filters and linear operators to maintain image accuracy and fidelity. It demonstrates how these techniques can be effectively applied to a range of signal processing tasks beyond image filtering, including audio and telecommunications. The experimental results presented in the paper indicate that the proposed filters significantly improve the detection and accuracy of special points in digital images, which is crucial for UAV navigation and other critical applications. The authors conclude that the use of these advanced filtering techniques can lead to more efficient and sophisticated image processing systems, with potential applications across various fields. In addition to the practical applications, the paper also discusses the theoretical underpinnings of splinebased filters, including the derivation of low- and high-frequency filter masks. The authors propose that these filters can be used to perform both sub-band filtering and multi-scale analysis of digital images, leading to improved data processing and analysis capabilities. The research contributes to the ongoing development of efficient image processing techniques that are essential for modern technology and various real-time appl

关键词： Wiener filtering

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Optimized image processing on FPGAs: Comparative Analysis of Adder Architectures for image Smoothing applications

Optimized Image Processing on FPGAs: Comparative Analysis of...

引用

2025 IEEE International Students' conference on Electrical, Electronics and Computer Science, SCEECS 2025

作者： Varun, G. Abhinav Chaitanya, R. Jagadeesh, J. Sm, Sakthivel School of Electronics Engineering Chennai India

ISBN: (数字)9798331529833

ISBN: (纸本)9798331529833

image smoothening is a highly utilized operation in digital image processing focused on reducing the impact of noise. In field programmable gate arrays (FPGA) based implementation, the working of the image smoothening process depends on the arithmetic components, particularly the adder structures. Modifying the underlying adder structures would have a significant impact on the efficiency of image processing. This paper presents a comparative analysis of four advanced adder architectures - like optimized lower part constant or adder (OLOCA), hardware optimized approximate adder with normal error distribution (HOAANED), brent-kung adder, and kogge-stone adder - against the conventional ripple carry adder (RCA). Different adder's impact is evaluated based on delay, power consumption, resource utilization, and peak signal-to-noise ratio (PSNR). Our findings demonstrate how selecting an optimal adder can impact the performance of FPGA-based image-smoothening applications. © 2025 IEEE.

关键词： image analysis

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Hardware Implementation of image processing Morphological and Convolution Operations as SoC on FPGAs 24

Hardware Implementation of Image Processing Morphological an...

引用

7th International conference on digital Medicine and image processing, DMIP 2024

作者： Moussa, Alfred M. Groves, Richard Rafla, Nader Electrical and Computer Engineering Department Boise State University BoiseID United States

ISBN: (纸本)9798400709586

Efficient image processing architectures are consistently in demand across a multitude of applications, particularly those customized for resource-constrained systems-on-chip (SoC). The increasing need for high-performance image processing in various sectors has driven the development of specialized architectures. However, deploying such architectures on platforms with limited resources, such as SoCs, poses significant challenges. Furthermore, the implementation of complex algorithms to handle large datasets using software solutions often leads to slower response times, prompting exploration into hardware implementations. Field-Programmable Gate Arrays (FPGAs) are becoming popular for hardware implementations because of their attributes: low latency, connectivity, parallel computing capabilities, and flexibility. Consequently, the utilization of FPGA-based implementations has resulted in faster and more efficient performance of unique architectures tailored to specific requirements. This paper presents a novel hardware/software co-design approach to implement erosion, dilation, and neighborhood image processing operations on the FPGA development board, "Zedboard". In this approach, the FPGA is programmed by connecting it to a PC via USB, facilitating the transfer of an image pixel by pixel. The pixels are temporarily stored in on-chip DDR and accessed through DMA (Direct Memory Access) until they are requested by an interrupt signal from the image processing IP, at which point they are moved to line buffers for faster processing. Once processed, the image is transmitted back to the PC via UART, facilitating pixel-by-pixel transfer for verification, where it is compared with a reference image generated using Python. This comparison confirms a 99.22% match between the processed image and the reference image, with the discrepancy occurring at the image's edges due to initial padding. Additionally, the time required to process the entire image was measured and displayed

关键词： System-on-chip

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applications of Cloud Computing and Artificial Intelligence in the Oil and Gas Industry: A Review 6

Applications of Cloud Computing and Artificial Intelligence ...

引用

6th IEEE International conference on image processing, applications and Systems, IPAS 2025

作者： Jellah, Alfitouri Ibrahim Mohamed, M. Moaad, I. Bani-Waleed University Oil and Gas Engineering Department Bani-Waleed Libya

ISBN: (纸本)9798331506520

This paper reviews the latest machine learning and artificial intelligence technology, showcasing its potential to revolutionize the oil and gas industry. Despite the current limitations, the industry is on the brink of a digital transformation that promises to enhance operations and increase overall production. With the help of AI and cloud computing, the oil and gas industry's future is one of optimism and potential. The review showed a significant increase in production when applying AI technology, particularly with EOR. The paper summarized the limitations and future challenges of this technology. © 2025 IEEE.

关键词： Gas industry

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Enhancing Emoji Identification in Real-World Emotion Recognition Systems using Facial Masking Techniques 1

Enhancing Emoji Identification in Real-World Emotion Recogni...

引用

1st International conference on Intelligent Systems and Computational Networks, ICISCN 2025

作者： Puthran, Raksha Mugeraya, Supriya Shetty, Anusha Prashanth Department of Master of Computer Applications Bangalore India

ISBN: (纸本)9798331529246

Emojiify is a cutting-edge real-time image processing system powered by Convolutional Neural Networks (CNNs) for face emotion recognition. This unique technology fosters human-computer interaction by appropriately recognizing emotions in live facial images and instantly overlaying corresponding emojis, satisfying the rising need for engaging and intuitive emoji-based digital communication. The system classifies seven emotions - happiness, winking, pouting, sad, angry, shock, and neutrality - ensuring a smooth and interactive user experience. Trained on a selected dataset of 2,100 photographs, emojiify achieves an incredible 97% accuracy, exhibiting its capacity to capture nuanced emotional expressions. Its good performance across many demographic categories makes it vital for applications in interactive media, targeted content delivery, and user engagement. By integrating state-of-the-art machine learning with real-time picture processing, this research increases digital emotion expression, unlocking potential applications in entertainment, security, and smart systems. This work redefines how technology bridges human emotions and digital interactions. © 2025 IEEE.

关键词： Human computer interaction

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Research on GSEm-Net detection method of embroidery pattern lightweight operator for digital protection of Gansu intangible cultural heritage Long Embroidery 2

Research on GSEm-Net detection method of embroidery pattern ...

引用

2nd International conference on Big Data, Computational Intelligence, and applications, BDCIA 2024

作者： Ba, Yuanxiao Lanzhou Vocational Technical College Gansu Lanzhou China

ISBN: (纸本)9781510689053

The digital image of embroidery has complex edge structure and high repetition rate texture features. Post-processing such as region detection is a challenging task. A long embroidery image data set for learning and training is constructed. Based on the deep network and multi-scale detection structure, the lightweight detection network model GSEm-Net is introduced to detect the long embroidery pattern in real time. Experiments show that compared with yoloV8, the detection accuracy of this method is equivalent, and the detection speed is 1.5 times that of yoloV8, but the generated model is smaller, and it is easier to deploy to low-computing edge devices, which effectively improves the target detection efficiency. © 2025 SPIE.

关键词： Convolutional neural networks

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Conceptualisation of a Parameterizable Low-Pass Filter for Resolving Measurement Data 6

Conceptualisation of a Parameterizable Low-Pass Filter for R...

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6th IEEE International conference on image processing, applications and Systems, IPAS 2025

作者： Schmid, Michael Eisenmann, Bastian Aksu, Osman Radosavac, Misel Bierwirth, Florian Herzog, Hans-Georg Concepts Power Supplies BMW AG Department of Functional Safety Munich Germany Low Voltage Distributors BMW AG Department of Active Munich Germany Associate Professorship of Energy Conversion Technology Munich Germany

ISBN: (纸本)9798331506520

The data acquisition process through measurements translates continuous physical quantities, such as temperature or magnetic flux, into discrete digital data sets. Different noise sources, such as quantization or Gaussian noise, distort the sampled points and inhibit subsequent processing during this process. Filtering the measured data is, thereby, a necessary step. In contrast to conventional filter design, this paper describes a novel discrete low-pass filter with a variable shape. It is configured by two independent parameters, allowing it to be sensitive to time-critical peaks at high levels while providing adequate noise suppression at low measured quantities. The theoretical background of this work's filter approach is explained, and guidelines for parameter selection are suggested. In the utilized test data set, the novel approach results in a 19 % better peak preservation while providing the same noise suppression as a conventional low-pass filter. © 2025 IEEE.

关键词： discrete digital filter disturbance and response behavior Gaussian filter measurement data parameterizable low-pass signal processing

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image Integrity Checking Using Watermarking in Cloud Computing: A Review 3rd

Image Integrity Checking Using Watermarking in Cloud Computi...

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3rd International conference on Computing and Communication Networks, ICCCN 2023

作者： Rani, Jyoti Nath, Rajender Department of Computer Science and Applications Kurukshetra University Kurukshetra Thanesar India

ISBN: (纸本)9789819726707

In today’s era of cloud computing, modification and tampering of digital images on cloud storage have turn out to be easier due to proliferation of digital image processing tools. Consequently, tamper detection and integrity checking of images on remote server emerged as huge concern. image watermarking techniques provide an efficient way to tackle such problems. This paper provides a systematic examination of existing watermarking methods currently in use in cloud computing environment. This paper also presents a comparative analysis of those techniques. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2025.

关键词： Cloud platforms

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