FPGA-Based Implementation of High-Speed Image Compression Techniques for Real-Time Applications

Abstract

Image compression is a pivotal process in modern digital systems, particularly in bandwidth-constrained and storage-limited applications such as medical imaging, remote sensing, and surveillance. This paper explores the implementation of high-speed image compression algorithms using Field Programmable Gate Arrays (FPGAs), offering a comprehensive analysis of real-time performance, efficiency, and architectural benefits over traditional software-based systems. Techniques like Discrete Wavelet Transform (DWT) are evaluated for their suitability in VLSI architectures, and a complete hardware implementation is discussed to highlight latency reduction, throughput optimization, and memory utilization. By leveraging the parallelism and reconfigurability of FPGAs, the study demonstrates significant advancements in real-time image processing systems.

Keywords :FPGA, Image Compression, Discrete Wavelet Transform, VLSI, Real-Time Systems, Medical Imaging, Surveillance