In-loop denoising of reference frames for lossless coding of noisy image sequences
In-loop denoising of reference frames for lossless coding of noisy image sequences
复制标题
参考帧的环内去噪，用于噪声图像序列的无损编码
DOI：
--
复制
发表时间：
2010
期刊：
影响因子：
--
通讯作者：
André Kaup
中科院分区：
文献类型：
--
作者：
Eugen Wige;P. Amon;A. Hutter;André Kaup
与单个图像编码相比，视频编码应用中的主要增益是时间预测的使用，其利用相邻帧之间的相关性。然而，在高质量视频编码中，特别是无损视频编码中，P帧相对于I帧的压缩增益变得非常小。其原因是用于帧间预测的参考帧不够好，因此P帧中的帧间预测块的量与帧内预测块的数量相比变得相对较小。为了产生一个更好的预测帧间预测，我们建议使用自适应维纳滤波器从参考帧中去除加性噪声。这样，我们可以实现4.6%的最大压缩增益和3.3%的平均压缩增益相比，H. 264/AVC标准的无损编码的高质量的图像序列，而不影响编码时间显着。
The major gain in video coding applications compared to single image coding is the use of temporal prediction, which exploits the correlation between adjacent frames. However, in high quality video coding, especially lossless video coding, the compression gain of P-frames over I-Frames becomes very small. The reason for that is that the reference frame for inter prediction is not good enough, and therefore the amount of inter-predicted blocks in a P-Frame becomes relatively small compared to the number of intra-predicted blocks. In order to generate a better predictor for inter-prediction, we propose to remove additive noise from the reference frame using an adaptive Wiener filter. This way, we could achieve a maximum compression gain of 4.6% and an average compression gain of 3.3% in contrast to the H.264/AVC standard for lossless coding of high quality image sequences without affecting the encoding time noticeably.