Innovation in Image Processing with Programmable Logic gates

Submission Deadline: 15 February 2022 (closed)

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Summary

Image processing applications are increasingly being implemented using Field Programmable Gate Arrays (FPGAs). This is especially true in real-time embedded applications, where latency and power are crucial factors. An FPGA built in a smart camera can execute much of the image processing directly as the image is delivered from the sensor, instead of supplying images. Modern system-on-chip (SoC) FPGAs enable an application's architecture to be effectively partitioned between hardware and software to take advantage of both platforms' strengths. Because many image processing algorithms have been optimised for a serial processor, simply moving a software algorithm onto an FPGA typically yields disappointing results. To take advantage of the parallelism and resources available on an FPGA, the method must usually be transformed. This could lead to new image processing algorithms and hardware computational architectures, both at the operation and application levels. The goal of this Special Issue is to showcase new FPGA algorithms, designs, approaches, and applications in the field of image processing.

Because many image processing algorithms have been optimised for a serial processor, simply moving a software algorithm onto an FPGA typically yields disappointing results. To take advantage of the parallelism and resources available on an FPGA, the method must usually be transformed. This could lead to new image processing algorithms and hardware computational architectures, both at the operation and application levels. The goal of this Special Issue is to showcase new FPGA algorithms, designs, approaches, and applications in the field of image processing.

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