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首页> 外文会议>International conference on advanced concepts for intelligent vision systems >JND-Guided Perceptual Pre-filtering for HEVC Compression of UHDTV Video Contents
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JND-Guided Perceptual Pre-filtering for HEVC Compression of UHDTV Video Contents

机译：JND指导的感知预滤波，用于UHDTV视频内容的HEVC压缩

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摘要

In this paper, two new perceptual filters are presented as preprocessing techniques to reduce the bitrate of HEVC compressed Ultra high-definition (UHD) video contents at constant visual quality. The proposed perceptual filters rely on two novel adaptive filters (called BilAWA and TBil) which combine the good properties of the bilateral and Adaptive Weighted Averaging (AWA) filters. Moreover, these adaptive filters are guided by a just-noticeable distortion (JND) model to adaptively control the strength of the filtering process, taking into account the properties of the human visual system. Extensive psychovisual evaluation tests conducted on several UHD-TV sequences are presented in detail. Results show that applying the proposed pre-filters prior to HEVC encoding of UHD video contents lead to bitrate savings up to 23% for the same perceived visual quality.
机译：在本文中，提出了两种新的感知滤波器作为预处理技术，以在恒定的视觉质量下降低HEVC压缩的超高清（UHD）视频内容的比特率。提出的感知滤波器依赖于两个新颖的自适应滤波器（称为BilAWA和TBil），它们结合了双边滤波器和自适应加权平均（AWA）滤波器的良好特性。此外，考虑到人类视觉系统的特性，这些自适应滤镜由恰到好处的失真（JND）模型指导，以自适应地控制滤镜过程的强度。详细介绍了在几个UHD-TV序列上进行的广泛的心理视觉评估测试。结果表明，对于相同的感知视觉质量，在对UHD视频内容进行HEVC编码之前应用建议的预滤波器可节省高达23％的比特率。

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