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              <text>Varshini, R. Loga; Ragesh, K.; Ramkumar, K.; Vel, R. Arun Shai Saravana; Kumar, R. Bharani Raj; Saravanan, M.</text>
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              <text>A Verilog-Based Design Framework for Real-Time Edge Detection in Image Processing</text>
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              <text>01-01-2025</text>
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              <text>Proceedings of International Conference on Digital Innovations for Sustainable Solutions, ICDISS 2025;</text>
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              <text>&lt;a href="https://doi.org/10.1109/ICDISS68238.2025.11320708" target="_blank" rel="noreferrer noopener"&gt;https://doi.org/10.1109/ICDISS68238.2025.11320708&lt;/a&gt; &lt;br /&gt;&lt;br /&gt;&lt;a href="https://www.scopus.com/pages/publications/105033585274?origin=resultslist" target="_blank" rel="noreferrer noopener"&gt;https://www.scopus.com/pages/publications/105033585274?origin=resultslist&lt;/a&gt;</text>
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              <text>Varshini R.L., Department of ECE, Sri Eshwar College of Engineering, Tamilnadu, Coimbatore, India; Ragesh K., Department of ECE, Sri Eshwar College of Engineering, Tamilnadu, Coimbatore, India; Ramkumar K., School of Engineering and Technology, Christ (Deemed to be University), Bengaluru, India; Vel R.A.S.S., Department of ECE, Sri Eshwar College of Engineering, Tamilnadu, Coimbatore, India; Kumar R.B.R., Department of ECE, Sri Eshwar College of Engineering, Tamilnadu, Coimbatore, India; Saravanan M., Department of ECE, Sri Eshwar College of Engineering, Tamilnadu, Coimbatore, India</text>
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              <text>This article details the design process of a real-time image processing system developed in Verilog. The design has proven highly effective in real-time image acquisition, buffering, and processing, with a focus on hardware and performance optimization. The principal modules are a line buffer for image frame storage, a convolution engine featuring edge detection filters such as Sobel and Prewitt, and a control unit responsible for data flow and synchronization. The architecture facilitates the transmission of image data from a camera, with processed images transmitted via VGA/HDMI interfaces. Focus is placed on attaining low latency, high throughput, and optimal utilization of FPGA platform resources. The technology is particularly relevant for autonomous systems, medical imaging, industrial automation, and surveillance, where real-time edge detection is crucial for decision-making. 2025 IEEE.</text>
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              <text>Edge Detection; FPGA; Hardware Acceleration; Hardware Design; High-Throughput Architecture; Image Processing; Line Buffer; Low Latency; Parallel Processing; Real-Time Image Processing; Real-Time Processing; Verilog; VGA/HDMI Output</text>
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              <text>Institute of Electrical and Electronics Engineers Inc.</text>
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              <text>ISBN: 979-833155641-9;</text>
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