Design tools for the entire computational imaging pipeline can pave the way for powerful and affordable imaging systems, from assisted driving systems, computer vision-based robots, or high-quality images for mixed reality.
Image quality now relies more than ever on high computing power tied to miniaturized optics and sensors, rather than on standalone and bulky but aberration-free optics. This new trend is called computational imaging and can be used either for computational photography or for computer vision. Read this white paper to learn about market trends and promising system co-design and co-optimization approaches that can unleash the full potential of computational imaging systems by decreasing hardware complexity while keeping computing requirements at a reasonable level. Synopsys offers design tools for the entire computational imaging pipeline that pave the way for powerful and affordable imaging systems, spanning all domains from assisted driving systems in automotive, computer vision-based robots for smart manufacturing or high-quality images for mixed reality.
Written by Emilie Viasnoff, Business Development Director for Optical Solutions, Synopsys; Gordon Cooper, Product Manager for AI/ML Processor Products, Synopsys; Pierre Paulin, Director of R&D, Synopsys; and Tom Michiels, ARC Processors System Architect, Synopsys.
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