How to implement a high-definition video design framework for FPGAs
April 06, 2008 -- pldesignline.com
Almost all new design starts for video/imaging systems – be it in broadcast, studio, medical, or military applications – is processing high-definition (HD) video signals. A frame of HD video has between 5 to 12 times the numbers of pixels as the frame of SD video as illustrated in Table 1.
Table 1. Frame sizes in pixels for different HD resolutions compared to standard definition (SD).
This increase in the number of pixels per frame directly translates into increased video processing throughput requirements that drive most of HD video system designs to FPGAs.
With inherently parallel DSP blocks, an abundance of embedded memory blocks, a large number of registers, and high speed memory interfaces, FPGAs are ideal for HD video system design. However, HD video signal processing on FPGAs also has significant challenges, such as implementing efficient external frame buffer interface, interfacing different video function blocks, integrating the signal processing to the on-chip processor, as well as rapid debug and prototyping.
This article explores a video design framework that can alleviate some of these challenges and allow for a faster design cycle. The components of the video design framework described can be used collectively or designers can pick and choose to suit an in-house design flow and methodology.
To read the full article, click here
Related Semiconductor IP
- Sine Wave Frequency Generator
- CAN XL Verification IP
- Rad-Hard GPIO, ODIO & LVDS in SkyWater 90nm
- 1.22V/1uA Reference voltage and current source
- 1.2V SLVS Transceiver in UMC 110nm
Related White Papers
- Processor Architecture for High Performance Video Decode
- High Definition, Low Bandwidth -- Implementing a high-definition H.264 codec solution with a single Xilinx FPGA
- Video and image processing design using FPGAs
- Polyphase Video Scaling in FPGAs
Latest White Papers
- OmniSim: Simulating Hardware with C Speed and RTL Accuracy for High-Level Synthesis Designs
- Balancing Power and Performance With Task Dependencies in Multi-Core Systems
- LLM Inference with Codebook-based Q4X Quantization using the Llama.cpp Framework on RISC-V Vector CPUs
- PCIe 5.0: The universal high-speed interconnect for High Bandwidth and Low Latency Applications Design Challenges & Solutions
- Basilisk: A 34 mm2 End-to-End Open-Source 64-bit Linux-Capable RISC-V SoC in 130nm BiCMOS