SSIM based perceptual distortion rate optimization coding

Shiqi Wang; Siwei Ma; Wen Gao

doi:10.1117/12.863467

SSIM based perceptual distortion rate optimization coding

Shiqi Wang, Siwei Ma, Wen Gao

Research output: Chapters, Conference Papers, Creative and Literary Works › RGC 32 - Refereed conference paper (with host publication) › peer-review

15 Citations (Scopus)

Abstract

The current rate distortion optimization (RDO) coding schemes usually use the Sum of Absolute Difference (SAD) or Sum of Square Difference (SSD) as the distortion metric. However, neither SAD nor SSD correlates with the human visual system (HVS) very well. To develop a perceptual distortion based video encoder, we employ the Structural Similarity (SSIM) Index as the distortion metric and propose a SSIM based Lagrangian perceptual distortion rate optimization (PDRO) method in this paper. Furthermore, to adapt the different input sequences dynamically, we present an adaptive Lagrange multiplier selection scheme based on the properties of the input sequences. By modeling the transformed residuals with Laplace distribution, the statistical SSIM and rate models are deduced to obtain the adaptive Lagrange multiplier. Extensive experiments show that the proposed scheme can achieve better perceptual distortion rate performance and provide better visual quality than the SAD/SSD based RDO coding scheme.

Original language	English
Title of host publication	Visual Communications and Image Processing 2010
Editors	Pascal Frossard, Houqiang Li, Feng Wu, Bernd Girod, Shipeng Li, Guo Wei
Publisher	SPIE
ISBN (Print)	9780819482341
DOIs	https://doi.org/10.1117/12.863467
Publication status	Published - Jul 2010
Externally published	Yes
Event	Visual Communications and Image Processing 2010 (VCIP) - Huangshan, China Duration: 11 Jul 2010 → 14 Jul 2010 https://www.ieee.org/conferences_events/conferences/conferencedetails/index.html?Conf_ID=16582

Publication series

Name	Proceedings of SPIE
Publisher	SPIE
Volume	7744
ISSN (Print)	0277-786X

Conference

Conference	Visual Communications and Image Processing 2010 (VCIP)
Place	China
City	Huangshan
Period	11/07/10 → 14/07/10
Internet address	https://www.ieee.org/conferences_events/conferences/conferencedetails/index.html?Conf_ID=16582

Research Keywords

Lagrange multiplier
Laplace distribution
Rate distortion optimization
SSIM index

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title = "SSIM based perceptual distortion rate optimization coding",

abstract = "The current rate distortion optimization (RDO) coding schemes usually use the Sum of Absolute Difference (SAD) or Sum of Square Difference (SSD) as the distortion metric. However, neither SAD nor SSD correlates with the human visual system (HVS) very well. To develop a perceptual distortion based video encoder, we employ the Structural Similarity (SSIM) Index as the distortion metric and propose a SSIM based Lagrangian perceptual distortion rate optimization (PDRO) method in this paper. Furthermore, to adapt the different input sequences dynamically, we present an adaptive Lagrange multiplier selection scheme based on the properties of the input sequences. By modeling the transformed residuals with Laplace distribution, the statistical SSIM and rate models are deduced to obtain the adaptive Lagrange multiplier. Extensive experiments show that the proposed scheme can achieve better perceptual distortion rate performance and provide better visual quality than the SAD/SSD based RDO coding scheme.",

keywords = "Lagrange multiplier, Laplace distribution, Rate distortion optimization, SSIM index",

author = "Shiqi Wang and Siwei Ma and Wen Gao",

year = "2010",

month = jul,

doi = "10.1117/12.863467",

language = "English",

isbn = "9780819482341",

series = "Proceedings of SPIE",

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booktitle = "Visual Communications and Image Processing 2010",

address = "United States",

note = "Visual Communications and Image Processing 2010 (VCIP) ; Conference date: 11-07-2010 Through 14-07-2010",

url = "https://www.ieee.org/conferences_events/conferences/conferencedetails/index.html?Conf_ID=16582",

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SSIM based perceptual distortion rate optimization coding. / Wang, Shiqi; Ma, Siwei; Gao, Wen.
Visual Communications and Image Processing 2010. ed. / Pascal Frossard; Houqiang Li; Feng Wu; Bernd Girod; Shipeng Li; Guo Wei. SPIE, 2010. 774407 (Proceedings of SPIE; Vol. 7744).

Research output: Chapters, Conference Papers, Creative and Literary Works › RGC 32 - Refereed conference paper (with host publication) › peer-review

TY - GEN

T1 - SSIM based perceptual distortion rate optimization coding

AU - Wang, Shiqi

AU - Ma, Siwei

AU - Gao, Wen

PY - 2010/7

Y1 - 2010/7

N2 - The current rate distortion optimization (RDO) coding schemes usually use the Sum of Absolute Difference (SAD) or Sum of Square Difference (SSD) as the distortion metric. However, neither SAD nor SSD correlates with the human visual system (HVS) very well. To develop a perceptual distortion based video encoder, we employ the Structural Similarity (SSIM) Index as the distortion metric and propose a SSIM based Lagrangian perceptual distortion rate optimization (PDRO) method in this paper. Furthermore, to adapt the different input sequences dynamically, we present an adaptive Lagrange multiplier selection scheme based on the properties of the input sequences. By modeling the transformed residuals with Laplace distribution, the statistical SSIM and rate models are deduced to obtain the adaptive Lagrange multiplier. Extensive experiments show that the proposed scheme can achieve better perceptual distortion rate performance and provide better visual quality than the SAD/SSD based RDO coding scheme.

AB - The current rate distortion optimization (RDO) coding schemes usually use the Sum of Absolute Difference (SAD) or Sum of Square Difference (SSD) as the distortion metric. However, neither SAD nor SSD correlates with the human visual system (HVS) very well. To develop a perceptual distortion based video encoder, we employ the Structural Similarity (SSIM) Index as the distortion metric and propose a SSIM based Lagrangian perceptual distortion rate optimization (PDRO) method in this paper. Furthermore, to adapt the different input sequences dynamically, we present an adaptive Lagrange multiplier selection scheme based on the properties of the input sequences. By modeling the transformed residuals with Laplace distribution, the statistical SSIM and rate models are deduced to obtain the adaptive Lagrange multiplier. Extensive experiments show that the proposed scheme can achieve better perceptual distortion rate performance and provide better visual quality than the SAD/SSD based RDO coding scheme.

KW - Lagrange multiplier

KW - Laplace distribution

KW - Rate distortion optimization

KW - SSIM index

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DO - 10.1117/12.863467

M3 - RGC 32 - Refereed conference paper (with host publication)

SN - 9780819482341

T3 - Proceedings of SPIE

BT - Visual Communications and Image Processing 2010

A2 - Frossard, Pascal

A2 - Li, Houqiang

A2 - Wu, Feng

A2 - Girod, Bernd

A2 - Li, Shipeng

A2 - Wei, Guo

PB - SPIE

T2 - Visual Communications and Image Processing 2010 (VCIP)

Y2 - 11 July 2010 through 14 July 2010

ER -

SSIM based perceptual distortion rate optimization coding

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