基于HLS的弹载相机坏点检测校正模块设计

田宗浩; 刘桢; 陈栋

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基于HLS的弹载相机坏点检测校正模块设计

更新时间：2026-09-04

- 基于HLS的弹载相机坏点检测校正模块设计
- Design of detection and correction of dead pixels of the ammunition camera based on HLS
- 微电子学与计算机 2021年38卷第2期页码：56-61
- 作者机构：
  
  陆军炮兵防空兵学院,安徽,合肥,230031
- 作者简介：
- 基金信息：
  
  军队“十三五”预研基金项目 301070103
- DOI：
  中图分类号：
- 纸质出版：2021
- 稿件说明：
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田宗浩, 刘桢, 陈栋. 基于HLS的弹载相机坏点检测校正模块设计[J]. 微电子学与计算机, 2021, 38(2): 56-61.

TIAN Zong-hao, LIU Zhen, CHEN Dong. Design of detection and correction of dead pixels of the ammunition camera based on HLS[J]. 2021, 38(2): 56-61.
田宗浩, 刘桢, 陈栋. 基于HLS的弹载相机坏点检测校正模块设计[J]. 微电子学与计算机, 2021, 38(2): 56-61. DOI：

TIAN Zong-hao, LIU Zhen, CHEN Dong. Design of detection and correction of dead pixels of the ammunition camera based on HLS[J]. 2021, 38(2): 56-61. DOI：

摘要

为减少弹载图像传感器在生产、储存以及工作过程中产生的坏点，本文分析了坏点的成因和固有特性，提出了一种改进FAST角点检测的坏点检测校正算法.算法通过降低检测核半径和设定动态判断阈值等方法提高坏点检测的准确率，减少角点误检数量，并提高对连续坏点及边缘坏点的适应性，能在校正坏点的同时保留图像中的角点和边缘特征.利用Vivado HLS高层次综合工具，实现坏点检测校正算法的并行流水线设计，使资源消耗和时序达到最优；将综合生成的坏点检测校正IP核移植到PL端实现，实现弹载相机坏点的实时矫正.

Abstract

In order to reduce the bad points during the production

storage and operation of the image sensor

this paper analyzes the causes and inherent characteristics of the dead pixels

and proposes an improved FAST corner point detection for dead pixels correction. The algorithm can improve the accuracy of dead pixels detection by reducing the detection radius and setting dynamic judgment threshold

which can reduce the number of corner point misdetection

and improve the adaptability to continuous dead pixels and edge dead pixels. It can retain the corner point and edge features of the image while correcting the dead pixels. Vivado HLS tool is used to realize the parallel pipeline design of the algorithm

and achieve the optimal resource consumption and timing. The IP core of the dead pixels detection and correction is transplanted to the PL terminal to realize the real-time correction of the dead pixels of the missile camera.

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references

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