Abstract
Efficient image processing in embedded systems demands low-power, high-speed architectures capable of real-time performance. VLSI (Very Large-Scale Integration) technology provides customized hardware solutions that outperform general-purpose processors in terms of throughput and energy efficiency. This paper explores recent advancements in VLSI designs specifically tailored for image processing tasks within embedded systems. Key areas include parallel processing architectures, low-power design strategies, and optimized hardware accelerators for operations like convolution, edge detection, and transform coding. These designs enable implementation in mobile, automotive, and IoT-based vision applications, balancing performance with stringent power and area constraints.
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