计算机应用研究2017，Vol.34Issue(12)：3904-3907,4.DOI:10.3969/j.issn.1001-3695.2017.12.086
基于自相关和Hough变换的丢失同步信息的视频图像还原
Video image reconstruction without synchronous information based on autocorrelation and Hough transform
胡玉峰 1黄春琳 1陆珉1
作者信息
- 1. 国防科学技术大学电子科学与工程学院,长沙410073
- 折叠
摘要
Abstract
Stochastic video signal refers to those video signals which had not obvious synchronous information,and the frequency and format of synchronous signal were unknown,and the synchronous signal might vary with the passage of time.Losing synchronous information was the main difficulty to reconstruct video image.This paper analyzed the video signal and video frame,and based on the strong correlation of the adjacent lines on a video frame,it put forward the method of correlation of stochastic video signal to reconstruct video image.Besides,it used the method of Hough transform to revise the reconstructed images.The experimental results validate the applicability and reliability of proposed method,and benefit stochastic video signal processing and application in video industrial production.关键词
随机视频信号/自相关/Hough变换/同步特征提取/视频图像还原Key words
stochastic video signal/autocorrelation of signal/Hough transform/synchronization feature extraction/video image reconstruction分类
信息技术与安全科学引用本文复制引用
胡玉峰,黄春琳,陆珉..基于自相关和Hough变换的丢失同步信息的视频图像还原[J].计算机应用研究,2017,34(12):3904-3907,4.
