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| A HDTV video de-noising algorithm based on spatial-temporal filtering |
| CHEN Xiao-hong1,2,WANG Wei-dong1,2 |
1. Department of Information Science and Engineering, Zhejiang University, Hangzhou 310027, China;
2. Zhejiang Provincial Key Laboratory of Information Network Technology, Hangzhou, China |
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Abstract For the more severe noise interference and the limited hardware arithmetic resources in high definition television, a spatial-temporal video de-noising algorithm was proposed. The noise intensity was calculated by a statistical method. The spatial filtering window was adjusted adaptively according to the noise level and edge information. The temporal filtering window was adjusted by motion detection. The edge areas and the smooth areas were filtered by different spatial-temporal filters in proposed algorithm. The edge areas were filtered by simplified bilateral filters and the smooth areas were filtered by linear filters. The noise can be removed effectively, while keeping the edge information. Experimental results show that the average peak signal-noise ratio in proposed algorithm is at least 0.3dB higher compared with other spatial-temporal algorithms.
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Published: 01 May 2013
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基于时空联合滤波的高清视频降噪算法
针对高清电视上噪声更加突出,硬件计算资源有限的问题,提出一种时空联合滤波的降噪算法.采用基于统计的方法估计出噪声强度；空间域的滤波窗口根据噪声大小和边缘信息自适应调节,时间域的滤波窗口根据运动检测自适应调节；该算法对边缘和平滑区域分别进行不同策略的时空域滤波,对边缘区域采用简化的双边滤波,而对平滑区域采用线性滤波.该算法在降噪的同时可有效保持边缘信息.实验数据表明,与其他时空域算法相比,该算法的峰值信噪比平均提高0.3 dB以上.
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