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Proceedings Paper

Relations between local and global perceptual image quality and visual masking
Author(s): Md Mushfiqul Alam; Pranita Patil; Martin T. Hagan; Damon M. Chandler
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Paper Abstract

Perceptual quality assessment of digital images and videos are important for various image-processing applications. For assessing the image quality, researchers have often used the idea of visual masking (or distortion visibility) to design image-quality predictors specifically for the near-threshold distortions. However, it is still unknown that while assessing the quality of natural images, how the local distortion visibilities relate with the local quality scores. Furthermore, the summing mechanism of the local quality scores to predict the global quality scores is also crucial for better prediction of the perceptual image quality. In this paper, the local and global qualities of six images and six distortion levels were measured using subjective experiments. Gabor-noise target was used as distortion in the quality-assessment experiments to be consistent with our previous study [Alam, Vilankar, Field, and Chandler, Journal of Vision, 2014], in which the local root-mean-square contrast detection thresholds of detecting the Gabor-noise target were measured at each spatial location of the undistorted images. Comparison of the results of this quality-assessment experiment and the previous detection experiment shows that masking predicted the local quality scores more than 95% correctly above 15 dB threshold within 5% subject scores. Furthermore, it was found that an approximate squared summation of local-quality scores predicted the global quality scores suitably (Spearman rank-order correlation 0:97).

Paper Details

Date Published: 17 March 2015
PDF: 14 pages
Proc. SPIE 9394, Human Vision and Electronic Imaging XX, 93940M (17 March 2015); doi: 10.1117/12.2084935
Show Author Affiliations
Md Mushfiqul Alam, Oklahoma State Univ. (United States)
Pranita Patil, Oklahoma State Univ. (United States)
Martin T. Hagan, Oklahoma State Univ. (United States)
Damon M. Chandler, Oklahoma State Univ. (United States)


Published in SPIE Proceedings Vol. 9394:
Human Vision and Electronic Imaging XX
Bernice E. Rogowitz; Thrasyvoulos N. Pappas; Huib de Ridder, Editor(s)

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