Abstract

Medical high-definition electronic endoscopes have high requirements on real-time performance and video quality. Compared with software-based image algorithms, the algorithms based on field programmable gate array (FPGA) have higher real-time performance, but are more difficult to implement. Referring to the working requirements of the medical high-definition electronic endoscope image processing system, an experimental platform for the real-time image processing system based on FPGA is designed in this paper. And the FPGA implementation of lens shading correction, white balance and gamma correction is studied in this system. The hardware consumption is effectively reduced by improving the relevant algorithm equations. After these three kinds of processing, the output image quality is obviously improved, and high-definition output is realized. At the same time, the total time delay of three kinds of image signal processing based on FPGA is within 16 working clock cycles, which can well meet the real-time working requirements of endoscope. The design of this system has certain reference for the research of medical high-definition electronic real-time image processing system. The realization of the three algorithms also enriches the research of FPGA-based image processing algorithms.

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