利用噪声图像序列的方差特征进行降噪

2005 Digest of Technical Papers. International Conference on Consumer Electronics, 2005. ICCE. Pub Date : 2005-05-16 DOI:10.1109/ICCE.2005.1429793

Jae-Han Jung, Kihyun Hong, Seungjoon Yang

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引用次数: 8

摘要

提出了一种利用噪声方差特征的降噪算法。估计的噪声功率和运动估计中使用的绝对差和(SAD)来确定时间滤波器系数。提出了一种利用噪声输入与无噪声图像之间的相关性来准确估计噪声功率的噪声测量方案。实验结果表明，该降噪方法能够有效地去除噪声。

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Noise reduction using variance characteristics in noisy image sequence

A new noise reduction algorithm using variance characteristics of noise is presented. Estimated noise power and sum of absolute difference (SAD) employed in motion estimation are used to determine temporal filter coefficients. A noise measurement scheme using the correlation between the noisy input and the noise-free image is applied for accurate estimation of noise power. Experimental results support that the proposed noise reduction method efficiently removes noise.

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来源期刊

2005 Digest of Technical Papers. International Conference on Consumer Electronics, 2005. ICCE.

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