Design of Nonlinear Bilateral Filter System Based on FPGA in Machine Vision Field

Meng Chenguang, Liu Yuecheng, Zhen Guoyong

Integrated Circuits and Embedded Systems ›› 2023, Vol. 23 ›› Issue (7) : 57-61.

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PDF(3686 KB)
Integrated Circuits and Embedded Systems ›› 2023, Vol. 23 ›› Issue (7) : 57-61.
NEW PRODUCT & TECH

Design of Nonlinear Bilateral Filter System Based on FPGA in Machine Vision Field

  • Meng Chenguang1, Liu Yuecheng2, Zhen Guoyong2
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Abstract

In order to meet the requirement of image quality in machine vision field,a nonlinear bilateral filter system based on FPGA is designed,and the noise image is denoised through the bilateral filter system.This paper theoretically analyzes the bilateral filter system from three aspects:the principle of bilateral filter,the reason of "edge preservation" of bilateral filtering,and the influence of bilateral filter parameter values.The bilateral filter system is realized on FPGA through look-up tables,parallel pipeline processing,etc.The portability of bilateral filter system is improved through modular design and parametric programming.The designed bilateral filter system is tested and verified.The PSNR value of the image after noise reduction by the bilateral filter system is 3.284 2 dB higher than that of the noisy image,and the SSIM is 21.82% higher.The designed bilateral filter system has achieved certain noise suppression effect.

Key words

FPGA / image noise / bilateral filter / image preprocessing / machine vision

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Meng Chenguang, Liu Yuecheng, Zhen Guoyong. Design of Nonlinear Bilateral Filter System Based on FPGA in Machine Vision Field[J]. Integrated Circuits and Embedded Systems. 2023, 23(7): 57-61

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