Laser & Optoelectronics Progress, Volume. 61, Issue 20, 2011015(2024)

Wide-Spectrum CMOS Endoscopic Imaging Enhancement System Based on Pangu FPGA Driver (Invited)

Haima Yang1,2、**, Zhongyang Jiang1, Yu Zhang1, Xianglei Hu1, Haibin Sun2, Fuchun Chen2, Jun Li1, and Jin Liu3、*
Author Affiliations
  • 1School of Optical-Electrical and Computer Engineering, University of Shanghai for Science and Technology, Shanghai 200093, China
  • 2Key Laboratory of Space Active Opto-Electronics Technology, Chinese Academy of Sciences, Shanghai 201800, China
  • 3College of Electronic and Electrical Engineering, Shanghai University of Engineering Science, Shanghai 201620, China
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    To capture images of the internal surface vascular tissue of the human body under small cavity conditions, accurately present the state of vascular tissue, and address issues related to the large size of conventional image detectors, poor imaging quality under uneven lighting conditions, and low contrast of vascular imaging, an electronic endoscopic image acquisition system is designed. This system uses an OV6946 ultra-small image detector with a 300?1100 nm-wide spectrum imaging capability and is driven by a domestic Pangu FPGA. By improving the contrast-constrained adaptive histogram equalization (CLAHE) algorithm, vascular images on the surface of small cavity tissues in human can be effectively enhanced. The proposed system provides superior imaging performance for tissue imaging within small cavities under nonuniform illumination. The improved CLAHE image enhancement algorithm significantly enhances the contrast of vascular tissue imaging, providing an effective technical solution for advancing medical ultrafine electronic endoscopic systems or broadband image enhancement systems with similar requirements.

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    Haima Yang, Zhongyang Jiang, Yu Zhang, Xianglei Hu, Haibin Sun, Fuchun Chen, Jun Li, Jin Liu. Wide-Spectrum CMOS Endoscopic Imaging Enhancement System Based on Pangu FPGA Driver (Invited)[J]. Laser & Optoelectronics Progress, 2024, 61(20): 2011015

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    Paper Information

    Category: Imaging Systems

    Received: Jul. 1, 2024

    Accepted: Jul. 29, 2024

    Published Online: Nov. 6, 2024

    The Author Email: Yang Haima (snowyhm@usst.edu.cn), Liu Jin (liujin@sues.edu.cn)

    DOI:10.3788/LOP241589

    CSTR:32186.14.LOP241589

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