基于频域滤波的视频图像帧复原技术研究
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商洛学院电子信息工程与电气工程学院商洛726000

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TN911.73

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商洛学院科研基金(14SKY001)资助项目


Study on video frame restoration technique of frequency domain filtering
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College of Electronic Information and Electrical Engineering,Shangluo University, Shangluo726000, China

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    摘要:

    视频图像帧在通信过程中,由于受到各种噪声的干扰,使其质量下降,为了确保较高的通信质量需要对降质的图像帧进行复原。本文分析了频域中的逆滤波和维纳滤波即最小均方误差滤波的方法对退化的图像进行复原的基本原理,在VC++中对其算法思想进行编程实现,对比两种图像复原技术的效果,实验结果表明,两种频域滤波技术各有特点,逆滤波算法思想简单,对于图像帧降质小的图像复原效果较好;而对于信噪比较小,对于降质明显的图像帧使用维纳滤波复原效果较好。

    Abstract:

    Because of the interference with kinds of noise, the quality of video frame was degradation in the communication process, Video frame degradation should be restored to ensure high quality communication.In this paper, the image restoration principles of Inverse filtering and Wiener filtering(minimum square error filter) were analyzed with Image degradation in frequency domain, the two image restoration technology was compared with implemented in VC++ programming. The experiment result was showed that the two filter techniques had own characteristics. The algorithm of inverse filtering was sample, it is better to restore for small image degradation ;however,the degraded image and the little signal to noise was received apparently recovery by Wiener filtering.

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李亚文.基于频域滤波的视频图像帧复原技术研究[J].电子测量技术,2016,39(8):100-103

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  • 在线发布日期: 2016-09-23
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