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Perceptual intra-frame coding for HEVC still picture profile based on invisible signal suppression

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Abstract

In this paper, a perceptual intra-frame coding for high-efficiency video coding under the still picture profile is proposed to improve coding efficiency in terms of subjective quality. The proposed method suppresses invisible signals based on the just notable distortion (JND) model by maintaining subjective quality with a lower bitrate. For quantized transform coefficients of residual signals, the magnitudes of nonzero coefficients iteratively reduce by 10% and the maximum reduction is decided by the non-noticeable quantized coefficients based on the JND measure with a given quantization parameter. The performance of the proposed algorithm was verified on the HM reference encoder. In the all-intra-configuration of the common test condition, the proposed perceptual encoder achieves a bit saving of 13.87%, on average, and up to 39.52% for several test sequences. The mean difference mean opinion score for subjective quality evaluation is observed approximately 0.64–0.15 with 15 subjects.

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Acknowledgements

This research was supported by the Basic Science Research Program through the National Research Foundation of Korea (NRF) funded by the Ministry of Science, ICT & Future Planning (NRF-2018R1A2B2008238).

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  1. Department of Computer Engineering, Kwangwoon University, 20 Gwangun-ro, Nowon-gu, Seoul, Korea

    Hyunho Jo, Seonoh Lee, Yongjo Ahn, Yongwoong Kim & Donggyu Sim

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  1. Hyunho Jo
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Correspondence to Donggyu Sim.

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Jo, H., Lee, S., Ahn, Y. et al. Perceptual intra-frame coding for HEVC still picture profile based on invisible signal suppression. SIViP 14, 1053–1061 (2020). https://doi.org/10.1007/s11760-020-01639-x

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