A no-reference perceptual blockiness metric

H. Liu; I.E.J. Heynderickx

doi:10.1109/ICASSP.2008.4517747

A no-reference perceptual blockiness metric

H. Liu, I.E.J. Heynderickx

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

34 Citations (SciVal)

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Abstract

A novel no-reference blockiness metric that can automatically and perceptually quantify blocking artifacts of DCT coding is presented. The proposed metric is built upon the specific structure information of the artifact itself combined with the properties of the human visual system (HVS) by means of a simple and efficient model of visual masking. Investigations are conducted to reduce the additional cost introduced by the human vision model, without compromising its overall prediction ability. The proposed metric is validated through comparing its performance to state-of-the-art HVS model based blockiness metrics with respect to accuracy, reliability and computational complexity. ©2008 IEEE.

Original language	English
Title of host publication	2008 IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP, 31 March 2008 through 4 April 2008, Las Vegas
Place of Publication	Piscataway
Publisher	Institute of Electrical and Electronics Engineers
Pages	865-868
ISBN (Print)	978-1-4244-1484-0
DOIs	https://doi.org/10.1109/ICASSP.2008.4517747
Publication status	Published - 2008

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10.1109/ICASSP.2008.4517747

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title = "A no-reference perceptual blockiness metric",

abstract = "A novel no-reference blockiness metric that can automatically and perceptually quantify blocking artifacts of DCT coding is presented. The proposed metric is built upon the specific structure information of the artifact itself combined with the properties of the human visual system (HVS) by means of a simple and efficient model of visual masking. Investigations are conducted to reduce the additional cost introduced by the human vision model, without compromising its overall prediction ability. The proposed metric is validated through comparing its performance to state-of-the-art HVS model based blockiness metrics with respect to accuracy, reliability and computational complexity. {\textcopyright}2008 IEEE.",

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A no-reference perceptual blockiness metric. / Liu, H.; Heynderickx, I.E.J.
2008 IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP, 31 March 2008 through 4 April 2008, Las Vegas. Piscataway: Institute of Electrical and Electronics Engineers, 2008. p. 865-868.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

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AB - A novel no-reference blockiness metric that can automatically and perceptually quantify blocking artifacts of DCT coding is presented. The proposed metric is built upon the specific structure information of the artifact itself combined with the properties of the human visual system (HVS) by means of a simple and efficient model of visual masking. Investigations are conducted to reduce the additional cost introduced by the human vision model, without compromising its overall prediction ability. The proposed metric is validated through comparing its performance to state-of-the-art HVS model based blockiness metrics with respect to accuracy, reliability and computational complexity. ©2008 IEEE.

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DO - 10.1109/ICASSP.2008.4517747

M3 - Conference contribution

SN - 978-1-4244-1484-0

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EP - 868

BT - 2008 IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP, 31 March 2008 through 4 April 2008, Las Vegas

PB - Institute of Electrical and Electronics Engineers

CY - Piscataway

ER -

A no-reference perceptual blockiness metric

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