Just Noticeable Distortion Based Perceptually Lossless Intra Coding

Xuelin SHEN; Xinfeng ZHANG; Shiqi WANG; Sam KWONG; Guopu ZHU

doi:10.1109/ICASSP40776.2020.9053580

Just Noticeable Distortion Based Perceptually Lossless Intra Coding

Xuelin SHEN, Xinfeng ZHANG, Shiqi WANG, Sam KWONG, Guopu ZHU

Research output: Book Chapters | Papers in Conference Proceedings › Conference paper (refereed) › Research › peer-review

4 Citations (Scopus)

Abstract

Perceptual video coding plays a very important role in video codec optimization aiming at removing the perceptual redundancies in video content. In this paper, a just noticeable distortion (JND) guided perceptually lossless coding framework is proposed for Versatile Video Coding (VVC) intra coding. Within this framework, a pattern-based pixel wise JND model is employed to guide the distortion distribution, and subsequently the most appropriate quantization parameter is chosen for each Coding Tree Unit (CTU). The content adaptive Laplacian distribution based D-Q model based on a two pass coding framework is established to derive the most proper QP that satisfies the perceptually lossless coding criteria. The whole framework is integrated into the H.266/VVC intra coding framework. Experimental results demonstrate that the proposed scheme can achieve high accuracy prediction and efficient perceptually lossless intra coding, leading to around 10% bitrate savings comparing with the frame level QP derivation scheme.

Original language	English
Title of host publication	ICASSP 2020 : 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
Publisher	IEEE
Pages	2058-2062
ISBN (Electronic)	9781509066315
ISBN (Print)	9781509066322
DOIs	https://doi.org/10.1109/ICASSP40776.2020.9053580
Publication status	Published - May 2020
Externally published	Yes
Event	45th IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP 2020) - Barcelona, Spain Duration: 4 May 2020 → 8 May 2020 https://2020.ieeeicassp.org/index.html

Conference

Conference	45th IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP 2020)
Country/Territory	Spain
City	Barcelona
Period	4/05/20 → 8/05/20
Internet address	https://2020.ieeeicassp.org/index.html

Funding

This work was supported by the Natural Science Foundation of China under Grant 61871342, Grant 61772344, and Grant 61672443 and in part by the Hong Kong RGC General Research Funds under Grant 9042820 (C-ityU 11219019), Grant 9042489(CityU 11206317), Grant 9042322 (CityU 11200116), and Grant 9048123 (CityU 21211518).

Keywords

intra coding
just noticeable distortion
Perceptual video coding

Access to Document

10.1109/ICASSP40776.2020.9053580

Cite this

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title = "Just Noticeable Distortion Based Perceptually Lossless Intra Coding",

abstract = "Perceptual video coding plays a very important role in video codec optimization aiming at removing the perceptual redundancies in video content. In this paper, a just noticeable distortion (JND) guided perceptually lossless coding framework is proposed for Versatile Video Coding (VVC) intra coding. Within this framework, a pattern-based pixel wise JND model is employed to guide the distortion distribution, and subsequently the most appropriate quantization parameter is chosen for each Coding Tree Unit (CTU). The content adaptive Laplacian distribution based D-Q model based on a two pass coding framework is established to derive the most proper QP that satisfies the perceptually lossless coding criteria. The whole framework is integrated into the H.266/VVC intra coding framework. Experimental results demonstrate that the proposed scheme can achieve high accuracy prediction and efficient perceptually lossless intra coding, leading to around 10% bitrate savings comparing with the frame level QP derivation scheme.",

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author = "Xuelin SHEN and Xinfeng ZHANG and Shiqi WANG and Sam KWONG and Guopu ZHU",

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booktitle = "ICASSP 2020 : 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)",

publisher = "IEEE",

note = "45th IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP 2020) ; Conference date: 04-05-2020 Through 08-05-2020",

url = "https://2020.ieeeicassp.org/index.html",

}

SHEN, X, ZHANG, X, WANG, S, KWONG, S & ZHU, G 2020, Just Noticeable Distortion Based Perceptually Lossless Intra Coding. in ICASSP 2020 : 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). IEEE, pp. 2058-2062, 45th IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP 2020), Barcelona, Spain, 4/05/20. https://doi.org/10.1109/ICASSP40776.2020.9053580

Just Noticeable Distortion Based Perceptually Lossless Intra Coding. / SHEN, Xuelin; ZHANG, Xinfeng; WANG, Shiqi et al.
ICASSP 2020 : 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). IEEE, 2020. p. 2058-2062.

Research output: Book Chapters | Papers in Conference Proceedings › Conference paper (refereed) › Research › peer-review

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AU - SHEN, Xuelin

AU - ZHANG, Xinfeng

AU - WANG, Shiqi

AU - KWONG, Sam

AU - ZHU, Guopu

PY - 2020/5

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N2 - Perceptual video coding plays a very important role in video codec optimization aiming at removing the perceptual redundancies in video content. In this paper, a just noticeable distortion (JND) guided perceptually lossless coding framework is proposed for Versatile Video Coding (VVC) intra coding. Within this framework, a pattern-based pixel wise JND model is employed to guide the distortion distribution, and subsequently the most appropriate quantization parameter is chosen for each Coding Tree Unit (CTU). The content adaptive Laplacian distribution based D-Q model based on a two pass coding framework is established to derive the most proper QP that satisfies the perceptually lossless coding criteria. The whole framework is integrated into the H.266/VVC intra coding framework. Experimental results demonstrate that the proposed scheme can achieve high accuracy prediction and efficient perceptually lossless intra coding, leading to around 10% bitrate savings comparing with the frame level QP derivation scheme.

AB - Perceptual video coding plays a very important role in video codec optimization aiming at removing the perceptual redundancies in video content. In this paper, a just noticeable distortion (JND) guided perceptually lossless coding framework is proposed for Versatile Video Coding (VVC) intra coding. Within this framework, a pattern-based pixel wise JND model is employed to guide the distortion distribution, and subsequently the most appropriate quantization parameter is chosen for each Coding Tree Unit (CTU). The content adaptive Laplacian distribution based D-Q model based on a two pass coding framework is established to derive the most proper QP that satisfies the perceptually lossless coding criteria. The whole framework is integrated into the H.266/VVC intra coding framework. Experimental results demonstrate that the proposed scheme can achieve high accuracy prediction and efficient perceptually lossless intra coding, leading to around 10% bitrate savings comparing with the frame level QP derivation scheme.

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M3 - Conference paper (refereed)

SN - 9781509066322

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BT - ICASSP 2020 : 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)

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Just Noticeable Distortion Based Perceptually Lossless Intra Coding

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