Real-Time Image Processing Acceleration Through Verilog HDL on FPGA Platforms
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Real-Time Image Processing Acceleration Through Verilog HDL on FPGA Platforms
Sumanta Karmakar1, Gurjeet Singh1, Apurba Chatterjee2,Souvik Auddya3, Raj Vardhan Prasad3
1Assistant Professor, ECE Department, Asansol Engineering College
sumanta.ece@aecwb.edu.in, gurjeet.ece@aecwb.edu.in,
2 Assistant Professor, EE Department, Asansol Engineering College
hodee@aecwb.edu.in
3Assistant Professor, EE Department, Asansol Engineering College
Corresponding author: sumantakarmakar799@gmail.com
Abstract
Real-time image processing is closely linked to monitoring systems that require immediate responses. In the medical field, it significantly enhances diagnostic technologies such as MRI and CT imaging. Likewise, modern security infrastructures rely on image processing for functions including facial recognition and surveillance. These cases demonstrate the wide-ranging applications and increasing importance of image processing across multiple domains.
The ISE Design Suite facilitates hardware development by providing tools for synthesis-based design compilation, timing analysis, RTL schematic generation, behavioral simulation under varying inputs, and device configuration through its integrated programming utilities.
In this work, design development and simulation are carried out using the Xilinx ISE Design Suite. Input images are first converted into hexadecimal format using MATLAB, ensuring smooth compatibility with the FPGA workflow. The outcomes clearly demonstrate the FPGA’s capability to manage real-time image processing tasks with high efficiency and reliability.
Over time, the image processing field has evolved substantially. Early techniques were largely manual and focused on simple operations such as basic enhancement or image resizing. With advancements in technology, more sophisticated functions—like brightness control, inversion, thresholding, and binary conversion—have been refined to improve visual understanding. This project ultimately confirms that FPGA architectures offer a powerful and adaptable platform for implementing real-time image processing solutions.
Index Terms—Xilinx ISE Design Suite, MATLAB FPGA, Image Processing.
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