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The intricate design of specialized embedded systems is exemplified through the exploration of digital cameras, detailing the complex hardware-software partitioning necessary for optimal performance, cost, and power efficiency. The chapter outlines the architecture of digital cameras, key components such as image sensors and processing units, and the critical image signal processing stages. Furthermore, it emphasizes the importance of hardware-software co-design and various strategies for effective partitioning to meet modern system demands.
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10
Digital Camera Design And Hardware-Software Partitioning - Crafting Specialized Embedded Systems
This section explores the architecture and design principles that underpin digital cameras, focusing on hardware-software partitioning to optimize performance, cost, and power consumption.
10.1.3
Image Signal Processing (Isp) Pipeline: Fundamental Steps And Computational Challenges
The ISP pipeline is a series of essential steps that transform raw image data captured by a sensor into high-quality images, highlighting the computational demands and challenges of the process.
References
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Term: HardwareSoftware Codesign
Definition: A concurrent and iterative design methodology where hardware architecture and software functionality are developed in parallel to optimize system performance.
Term: Image Signal Processing (ISP) Pipeline
Definition: The sequence of digital processing steps crucial for transforming raw image data from the sensor into a visually appealing final image.
Term: CMOS and CCD
Definition: Two predominant image sensor technologies, with CMOS commonly used in consumer electronics due to lower cost and power consumption, while CCD is valued for its high image quality and low noise.