Video and image processing implementation in FPGA devices and SoCs

Video processing, specifically real-time video processing, requires intensive DSP computation. In the last decade, we started observing the proliferation of these applications in embedded systems, which possess a limited amount of computation, storage, and power resources. The emergence of IoT and distributed systems is adding to the abundance of computationally demanding devices with these limited resources. Many architectures are also evolving to solve this dilemma and balance the processing requirements and the limited resources in these devices. Several applications, such as object detection, video surveillance, machine vision, and security, are using FPGA-based SoCs where the PS implements the device security, communication, and control, whereas DSP-intensive operations are offloaded to the FPGA logic to implement the computationally intensive algorithms. This approach is helping to minimize the time to market...