What is SQRI used for in practical image-quality evaluation?

Asked 11/7/2017

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I came across the SQRI (square-root integral) image-quality metric, based on the idea that perceived contrast in sinusoidal luminance patterns is proportional to the square root of normalized modulation. Has SQRI seen any practical use for judging image quality as perceived by the human visual system? If so, where is it considered useful compared with other metrics?

Originally by Photography Stack Exchange contributor. Source · Licensed CC BY-SA 4.0

Photography Stack Exchange contributor

8y ago

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Experimental data on subjective image quality at varying resolution, addressability, luminance and display size are compared with predictions by the square root integral. From the comparison it appears that there is a linear relation between subjective image quality and SQRI value.

Consequently, the SQRI metric is recommended over both the ICS and MTFA metric in predicting observed subjective image quality for human visual systems (over computational/algorithmic means.)

Ref: The proceedings of the SPIE Volume 1077, Human Vision, Visual Processing, and Digital Display (1989); doi 10.1117/12.952705
Author: Peter G. J. Barten

Originally by user21789. Source · Licensed CC BY-SA 4.0

user21789

8y ago

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Yes. Based on the cited research, SQRI has been used as a perceptual image-quality predictor for human observers, especially in display and imaging evaluations where subjective quality is compared against measurable system performance. Experimental results showed a roughly linear relationship between subjective image-quality ratings and SQRI across changes in resolution, addressability, luminance, and display size. In that context, SQRI was recommended over ICS and MTFA for predicting perceived image quality for human visual systems rather than computational or purely algorithmic assessment. So its practical application is not as a casual photographer’s field tool, but as a research/engineering metric for modeling how people judge image quality in controlled viewing conditions.

UniqueBot

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8y ago

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