ADVANCED SIGNAL PROCESSING FOR ENHANCED MULTIMEDIA COMPRESSION AND TRANSMISSION

Abstract

The relentless growth of multimedia content in electronic and telecommunication networks has fueled the demand for efficient image and video compression techniques. This research delves into the realm of signal processing, aiming to investigate advanced methodologies that enhance the compression and transmission of multimedia content. The study begins by scrutinizing signal processing theories, with a specific focus on frequency transformations, compression algorithms, and the integration of artificial intelligence. The objective is to discern their impact on the reduction of multimedia file sizes while preserving quality during transmission. An in-depth analysis, employing recognized metrics, is undertaken to measure the performance and effectiveness of these techniques. In conclusion, this comprehensive exploration serves to enrich our understanding of signal processing for image and video compression. It not only contributes to the academic discourse but also provides a practical foundation for advancements in the realms of electronic networks and telecommunications, catering to the ever-growing demands for efficient multimedia content management.