Blind blockiness measure based on marginal distribution of wavelet coefficient and saliency

Seungchul Ryu; Kwanghoon Sohn

doi:10.1109/ICASSP.2013.6637978

Blind blockiness measure based on marginal distribution of wavelet coefficient and saliency

Seungchul Ryu, Kwanghoon Sohn

Department of Electrical and Electronic Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

6 Citations (Scopus)

Abstract

The objective measurement of blockiness plays an important role in many applications, such as the quality assessment of an image, and the design of image and video coding system. However, most of the existing no-reference blockiness metrics do not consider important influences of grid distortion of an image on the performance of the metric. In this paper, we propose a new blockiness metric, which is robust to grid distortion, based on the marginal distribution of local wavelet coefficients and saliency information. Experiments for several public image databases showed that the proposed metric provides consistent correlations with subjective blockiness scores and outperforms other existing no-reference blockiness metrics.

Original language	English
Title of host publication	2013 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2013 - Proceedings
Pages	1874-1878
Number of pages	5
DOIs	https://doi.org/10.1109/ICASSP.2013.6637978
Publication status	Published - 2013 Oct 18
Event	2013 38th IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2013 - Vancouver, BC, Canada Duration: 2013 May 26 → 2013 May 31

Publication series

Name	ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings
ISSN (Print)	1520-6149

Other

Other	2013 38th IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2013
Country/Territory	Canada
City	Vancouver, BC
Period	13/5/26 → 13/5/31

All Science Journal Classification (ASJC) codes

Software
Signal Processing
Electrical and Electronic Engineering

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10.1109/ICASSP.2013.6637978

Cite this

Ryu, S., & Sohn, K. (2013). Blind blockiness measure based on marginal distribution of wavelet coefficient and saliency. In 2013 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2013 - Proceedings (pp. 1874-1878). Article 6637978 (ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings). https://doi.org/10.1109/ICASSP.2013.6637978

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abstract = "The objective measurement of blockiness plays an important role in many applications, such as the quality assessment of an image, and the design of image and video coding system. However, most of the existing no-reference blockiness metrics do not consider important influences of grid distortion of an image on the performance of the metric. In this paper, we propose a new blockiness metric, which is robust to grid distortion, based on the marginal distribution of local wavelet coefficients and saliency information. Experiments for several public image databases showed that the proposed metric provides consistent correlations with subjective blockiness scores and outperforms other existing no-reference blockiness metrics.",

author = "Seungchul Ryu and Kwanghoon Sohn",

year = "2013",

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doi = "10.1109/ICASSP.2013.6637978",

language = "English",

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pages = "1874--1878",

booktitle = "2013 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2013 - Proceedings",

note = "2013 38th IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2013 ; Conference date: 26-05-2013 Through 31-05-2013",

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Ryu, S & Sohn, K 2013, Blind blockiness measure based on marginal distribution of wavelet coefficient and saliency. in 2013 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2013 - Proceedings., 6637978, ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings, pp. 1874-1878, 2013 38th IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2013, Vancouver, BC, Canada, 13/5/26. https://doi.org/10.1109/ICASSP.2013.6637978

Blind blockiness measure based on marginal distribution of wavelet coefficient and saliency. / Ryu, Seungchul; Sohn, Kwanghoon.
2013 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2013 - Proceedings. 2013. p. 1874-1878 6637978 (ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

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AB - The objective measurement of blockiness plays an important role in many applications, such as the quality assessment of an image, and the design of image and video coding system. However, most of the existing no-reference blockiness metrics do not consider important influences of grid distortion of an image on the performance of the metric. In this paper, we propose a new blockiness metric, which is robust to grid distortion, based on the marginal distribution of local wavelet coefficients and saliency information. Experiments for several public image databases showed that the proposed metric provides consistent correlations with subjective blockiness scores and outperforms other existing no-reference blockiness metrics.

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Ryu S, Sohn K. Blind blockiness measure based on marginal distribution of wavelet coefficient and saliency. In 2013 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2013 - Proceedings. 2013. p. 1874-1878. 6637978. (ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings). doi: 10.1109/ICASSP.2013.6637978

Blind blockiness measure based on marginal distribution of wavelet coefficient and saliency

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