Application of logarithm, wavelet and contourlet transform for video-frame quality improvment

Songpon Nakharacruangsak, M. Sodanil, S. Nitsuwat
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引用次数: 0

Abstract

Video shot boundary detection is important step for the research in the content analysis and retrieval fields. In this paper, firstly we presented efficient method for Video-frame quality improvement to suppress flash occurred within video frame using logarithm, wavelet and contourlet transform. In addition, wavelet and contourlet transform also performed denoising. Secondly, for shot boundary detection, we used gray-scale histogram differences with edge change ratio. Furthermore, the adaptive threshold algorithm for shot transition detection was proposed. The experiment results showed that using logarithm with contourlet transform gain the precision and recall higher than using logarithm with wavelet transform.
对数变换、小波变换和轮廓波变换在视频帧质量改进中的应用
视频镜头边界检测是视频内容分析和检索领域研究的重要环节。本文首先利用对数变换、小波变换和contourlet变换,提出了一种有效的视频帧质量改进方法来抑制视频帧内的闪烁现象。此外,采用小波变换和contourlet变换对图像进行去噪。其次,在镜头边界检测中,采用灰度直方图差值与边缘变化比的方法。在此基础上,提出了镜头转移检测的自适应阈值算法。实验结果表明,采用对数与轮廓波变换相结合的方法比采用对数与小波变换相结合的方法具有更高的精度和召回率。
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