Design and Implementation of Image and Video Handling on a Platform with Reconfiguravle FPGA
Dr. Prashant Bachanna
dept. of ECE
Institute of Aeronautical Engineering Hyderabad, India b.prashant@iare.ac.in
P S Mounika
dept. of ECE
Institute of Aeronautical Engineering Hyderabad, India 21951A04A6@iare.ac.in
S Mounika
dept. of ECE
Institute of Aeronautical Engineering Hyderabad, India 21951A04A7@iare.ac.in
K Suprabhath
dept. of ECE
Institute of Aeronautical Engineering Hyderabad, India 21951A04M5@iare.ac.in
Abstract—This research explores the design and implementa- tion of an image and video processing platform using recon- figurable FPGA technology. With the increasing demand for real- time, high-performance multimedia processing in modern applications, a flexible and efficient solution is essential. The project utilizes an FPGA-based platform to handle image and video data processing through edge detection, image scaling, and real-time motion detection techniques. By integrating custom- built hardware components, this study aims to provide a low- power, high-throughput solution that meets the requirements of both image and video processing tasks. Materials and methods involved using Xilinx Virtex-II Pro FPGA for hardware imple- mentation, alongside embedded memory processors and multi- functional design elements such as zoom-in/out utilities. The system was evaluated through several experimental procedures, using various image and video datasets, to measure performance in terms of speed, resource utilization, and power consumption. Results indicated that the system achieved notable improvements in terms of efficiency, utilizing 25% of logic resources, 55% of on- chip memory, and 180mW of power. The discussion focuses on the adaptability of FPGA-based systems in meeting the diverse needs of multimedia processing, emphasizing scalability and low power consumption. In conclusion, the reconfigurable FPGA platform provides a versatile and efficient environment for image and video processing. The system’s resource efficiency, scalability, and potential for further enhancements make it a promising candidate for future multimedia applications.
Keywords-Reconfigurable FPGA Architecture, Video and
Image Processing, Edge Detection, Image Rescaling.
