A Novel VLSI Architecture for Barrel Distortion Correction

Chi Ting Ni, Chen An Chang, Jia Wei Liao, Pei Yin Chen

研究成果: Conference contribution

1 引文 斯高帕斯(Scopus)

摘要

Fisheye camera has been used in many field such as unmanned aerial vehicle, car reversing displays, endoscope, ect. Because the focal length of fisheye camera is too short, it will cause the barrel distortion. So far, most of the barrel distortion correction VLSI architectures are based on polynomial model or division model, and the parameters of polynomial model and division model are usually obtained from the camera parameters, which means that we can only perform barrel distortion correction on images taken by the same camera. So we have implemented the VLSI architecture of this algorithm [1] which can find out the parameters of polynomial model and division model by images. This algorithm [1] is only applied to the software, but the VLSI architecture has not been implemented yet. Thus, we are the first one who implement the algorithm into the VLSI architecture. Our design contains 102868 gate counts and works with a clock period of 10 ns and operates at a clock rate of 100 MHz by using TSMC's 90 nm cell library.

原文English
主出版物標題Proceedings - 2020 International Computer Symposium, ICS 2020
發行者Institute of Electrical and Electronics Engineers Inc.
頁面209-213
頁數5
ISBN(電子)9781728192550
DOIs
出版狀態Published - 2020 12月
事件2020 International Computer Symposium, ICS 2020 - Tainan, Taiwan
持續時間: 2020 12月 172020 12月 19

出版系列

名字Proceedings - 2020 International Computer Symposium, ICS 2020

Conference

Conference2020 International Computer Symposium, ICS 2020
國家/地區Taiwan
城市Tainan
期間20-12-1720-12-19

All Science Journal Classification (ASJC) codes

  • 人工智慧
  • 電腦網路與通信
  • 電腦科學應用
  • 資訊系統
  • 資訊系統與管理
  • 計算數學

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