JND-Guided Perceptual Pre-filtering for HEVC Compression of UHDTV Video Contents - Archive ouverte HAL Access content directly
Journal Articles Lecture Notes in Computer Science Year : 2017

JND-Guided Perceptual Pre-filtering for HEVC Compression of UHDTV Video Contents

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Abstract

In this paper, two new perceptual filters are presented as pre-processing 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.
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Dates and versions

hal-03565787 , version 1 (11-02-2022)

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Eloïse Vidal, François-Xavier Coudoux, Patrick Corlay, Christine Guillemot. JND-Guided Perceptual Pre-filtering for HEVC Compression of UHDTV Video Contents. Lecture Notes in Computer Science, 2017, Lecture Notes in Computer Science, 10617, pp.375-385. ⟨10.1007/978-3-319-70353-4_32⟩. ⟨hal-03565787⟩
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