Robust noise reduction using a hierarchical motion compensation in noisy image sequences

Yoon Kim, J. J. Oh, Byung-Tae Choi, Seung-Jong Choi, Eung-Tae Kim
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引用次数: 1

Abstract

In this paper, robust noise reduction method is proposed to stably reduce the noise by applying the adaptive temporal IIR filter using the hierarchical motion compensation. Motion vector of each pixel is obtained by hierarchical motion estimation which is reducing template block size from 8×8, to 4×4 and to 2×2. With obtained motion vector, filter weight is adjusted adaptively according to the correlation between the related pixels which is determined considering not only pixel similarity to temporal axis but also the neighboring pixel variation in spatial domain.
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在噪声图像序列中使用层次运动补偿进行鲁棒降噪
本文提出了一种鲁棒降噪方法,采用层次运动补偿的自适应时域IIR滤波器稳定降噪。通过分层运动估计得到每个像素的运动向量,将模板块大小从8×8、减小到4×4、减小到2×2。在得到运动向量后,根据相关像素之间的相关性自适应调整滤波器权重,该相关性既考虑像素与时间轴的相似性,又考虑相邻像素在空间域的变化。
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