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计算机工程 ›› 2011, Vol. 37 ›› Issue (2): 213-214. doi: 10.3969/j.issn.1000-3428.2011.02.074

• 图形图像处理 • 上一篇    下一篇

基于小波变换的改进AMMC去隔行算法

杜金凤,胡海平   

  1. (上海大学理学院数学系,上海 200444)
  • 出版日期:2011-01-20 发布日期:2011-01-25
  • 作者简介:杜金凤(1983-),女,硕士研究生,主研方向:图像处理,视频去隔行算法;胡海平,副教授

Improved AMMC De-interlacing Algorithm Based on Wavelet Transform

DU Jin-feng, HU Hai-ping   

  1. (Department of Mathematics, College of Sciences, Shanghai University, Shanghai 200444, China)
  • Online:2011-01-20 Published:2011-01-25

摘要:

为提高图像的分辨率,提出一种改进的AMMC去隔行算法。基于小波变换的可逆性,利用相邻像素间的空间和时间相关性,通过自适应加权小波系数,保持图像边界平滑以及减小运动补偿插值后的误差。实验结果表明,改进算法能降低图像边缘的模糊度,具有较高的画面质量。

关键词: 去隔行, 小波变换, 峰值信噪比, AMMC算法

Abstract:

To raise the resolution of the image, this paper presents an improved Adaptive Morphologic Motion Compensation(AMMC) de-interlacing algorithm. It is based on reversibility of wavelet transform to employ the wavelet transform for the post-processing stage. It preserves the edge, and reduces the interpolation error of the motion compensation by using the spatial-temporal correlation and weighting the wavelet coefficients. Experimental results show that the algorithm can reduce the ambiguity of the image edge, and accomplish the better image quality.

Key words: de-interlacing, wavelet transform, Peak Signal to Noise Ratio(PSNR), Adaptive Morphologic Motion Compensation(AMMC) algorithm

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