Embedding Advanced Signal and Image Processing to Realise Its Potential
Abstract
Embedded signal and image processing technologies have become indispensable in modern smart devices and systems, driving innovation across various sectors. This review explores the latest advancements, challenges, and applications of advanced embedded signal and image processing. We delve into trends such as miniaturization, integration, deep learning, and real-time processing, which are shaping the landscapeof embedded systems. Furthermore, we discuss the diverse applications of embedded signal and image processing in automotive systems, healthcare, smartphones, wearables, and industrial automation. Despite the remarkable progress, challenges such as computational complexity, power consumption, security, and standardization persist. Looking ahead, we envision the future directions of embedded processing, including edge computing, hybrid architectures, explainable AI, and the potential impact of quantum computing. This review provides insights into the evolving field of embedded signal and image processing, highlighting its crucial role in shaping the future of technology.
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