Blind image quality assessment for color images with additive Gaussian white noise using standard deviation

Author

Chern-Loon Lim ; Paramesran, Raveendran

Author_Institution

Dept. of Electr. Eng., Univ. of Malaya, Kuala Lumpur, Malaysia

fYear

2014

fDate

1-4 Dec. 2014

Abstract

This paper presents a no-reference (NR) quality assessment method for color images contaminated with additive Gaussian white noise (AGWN). The proposed metric operates on the test image and the scaled down version of the test image. Standard deviations for each of the RGB components for the test image and its scaled down version are computed. The standard deviation ratios of the scaled down version image to the original test image are weighted summed to obtain the quality score for noise. The performance of the proposed metric is compared with existing full-reference (FR) and NR metrics on LIVE database. Pearson correlation coefficient (CC), mean absolute error (MAE) and root mean square error (RMSE) are used to evaluate the performance of the proposed metric. A CC score of 0.9785 shows that the proposed metric has high correlation with the subjective scores for the LIVE database.

Keywords

AWGN; correlation methods; image colour analysis; mean square error methods; AGWN; LIVE database; MAE; NR quality assessment method; Pearson CC; Pearson correlation coefficient; RGB component; RMSE; additive Gaussian white noise; blind image quality assessment; color image; mean absolute error; no-reference quality assessment method; root mean square error; standard deviation; test image quality score; Additives; Databases; Image quality; Measurement; Standards; White noise;

fLanguage

English

Publisher

ieee

Conference_Titel

Intelligent Signal Processing and Communication Systems (ISPACS), 2014 International Symposium on

Conference_Location

Kuching

Type

conf

DOI

10.1109/ISPACS.2014.7024421

Filename

7024421