Eugen Wige, Gilbert Yammine, Wolfgang Schnurrer, André Kaup
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引用次数: 5
摘要
一种新的视频编码标准——高效视频编码(High Efficiency video coding, HEVC)正在开发中。在本文中,我们提出了两种相对低复杂度的自适应维纳方案,用于使用HEVC对噪声视频进行高效的p帧编码。在所提出的环内去噪框架中,对参考帧进行噪声滤波以进行p帧预测。该算法适应HEVC编码结构,能够有效地对参考帧内的噪声进行建模。仿真结果表明,采用所提出的环内去噪框架,一方面可以获得可观的压缩增益。另一方面,所开发的算法减少了编码器的运行时间,但同时增加了解码器的运行时间。
Mode adaptive reference frame denoising for high fidelity compression in HEVC
A new video coding standard, High Efficiency Video Coding (HEVC), is currently under development. In this paper we propose two relatively low-complex adaptive Wiener schemes for efficient P-frame coding of noisy videos with HEVC. In the proposed in-loop denoising framework the reference frame is noise filtered for P-frame prediction. The introduced algorithms adapt to the HEVC coding structure and thus can efficiently model the noise within the reference frame. The simulation results show that on the one hand considerable compression gains can be achieved using the proposed in-loop denoising framework. On the other hand the developed algorithms decrease the encoder runtime, but at the same time increase the decoder runtime.