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Digital Image Processing

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  Image processing is the process of manipulating digital images. See a list of image processing techniques, including image enhancement, restoration, & others. Digital image processing is the use of a digital computer to process digital images through an algorithm. As a subcategory or field of digital signal processing, digital image processing has many advantages over analog image processing. It allows a much wider range of algorithms to be applied to the input data and can avoid problems such as the build-up of noise and distortion during processing. Since images are defined over two dimensions or more, digital image processing may be modeled in the form of multidimensional systems.  The generation and development of digital image processing are mainly affected by three factors: first, the development of computers; second, the development of mathematics (especially the creation and improvement of discrete mathematics theory); and third, the demand for a wide range ...
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Microchip to Boost Edge AI with NVIDIA Holoscan

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 The NVIDIA Holoscan AI sensor processing platform, SDK and development ecosystem has helped to streamline the design and deployment of AI and high-performance computing ( HPC ) applications at the edge for real-time insights. Now, FPGAs are unlocking new edge-to-cloud applications for this advanced AI platform while enabling AI/ML inferencing and facilitating the adoption of AI in the medical, industrial and automotive markets.  Microchip's new PolarFire FPGA Ethernet Sensor Bridge is empowering developers to create innovative, real-time solutions with NVIDIA’s edge AI and robotics platforms that will revolutionize sensor interfaces across a wide range of powerful applications. To enable developers building artificial intelligence (AI)-driven sensor processing systems, Microchip Technology has released its PolarFire FPGA Ethernet Sensor Bridge that works with the NVIDIA Holoscan sensor processing platform.  Accelerating Real-time Edge AI with NVIDIA Holoscan The Pola...
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