The proceedings contains 34 papers. Some of the specific topics discussed are: digitalimageprocessing - experiences in Gulf War;morphological analysis in infrastructure engineering;application of radar imaging techn...
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ISBN:
(纸本)0872629791
The proceedings contains 34 papers. Some of the specific topics discussed are: digitalimageprocessing - experiences in Gulf War;morphological analysis in infrastructure engineering;application of radar imaging techniques to concrete;digital evaluation of contaminated sites;and image analysis applied to geotechnical engineering.
imageprocessing permits astronomers to make a more efficient use of their data for both subjective and quantitive analyses. The vast data base to be tapped are observatories, plate libraries and space missions. These...
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imageprocessing permits astronomers to make a more efficient use of their data for both subjective and quantitive analyses. The vast data base to be tapped are observatories, plate libraries and space missions. These conference proceedings consisting of 46 papers presented at five sessions consider future missions, hardware and software applications used in acquisition of images and in service on flight projects, analysis of astronomical objects of high interest, the beginning of stellar photometry and galaxy classification. Special applications of charge coupled devices and various digital techniques are also considered. Fifteen papers are indexed and abstracted separately.
imageprocessing permits astronomers to make a more efficient use of their data for both subjective and quantitive analyses. The vast data base to be tapped are observatories, plate libraries and space missions. These...
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imageprocessing permits astronomers to make a more efficient use of their data for both subjective and quantitive analyses. The vast data base to be tapped are observatories, plate libraries and space missions. These conference proceedings consisting of 46 papers presented at five sessions consider future missions, hardware and software applications used in acquisition of images and in service on flight projects, analysis of astronomical objects of high interest, the beginning of stellar photometry and galaxy classification. Special applications of charge coupled devices and various digital techniques are also considered. Fifteen papers are indexed and abstracted separately.
digitalimage Forgery Detection refers to the process of identifying whether a digitalimage has been manipulated or altered in any way, with the intention of deceiving or misleading the viewer. digitalimage forgery ...
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digitalimage Forgery Detection refers to the process of identifying whether a digitalimage has been manipulated or altered in any way, with the intention of deceiving or misleading the viewer. digitalimage 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 digitalimage 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 digitalimage 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 digitalimage 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
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 deliv...
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The paper explores the development and application of linear operators for filtering digitalimages, particularly through the use of fifth-order polynomial splines. The authors emphasize the importance of high-quality...
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The paper explores the development and application of linear operators for filtering digitalimages, particularly through the use of fifth-order polynomial splines. The authors emphasize the importance of high-quality, high-speed imageprocessing 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 digitalimages, 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 imageprocessing 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 digitalimages, leading to improved data processing and analysis capabilities. The research contributes to the ongoing development of efficient imageprocessing techniques that are essential for modern technology and various real-time appl
image smoothening is a highly utilized operation in digitalimageprocessing focused on reducing the impact of noise. In field programmable gate arrays (FPGA) based implementation, the working of the image smoothening...
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Efficient imageprocessing 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-perfor...
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ISBN:
(纸本)9798400709586
Efficient imageprocessing 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 imageprocessing 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 imageprocessing 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 imageprocessing 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
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 ...
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Emojiify is a cutting-edge real-time imageprocessing system powered by Convolutional Neural Networks (CNNs) for face emotion recognition. This unique technology fosters human-computer interaction by appropriately rec...
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