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.
