Device-dependent scene-dependent quality predictions using effective pictorial information capacity

Kyung Hoon Oh; Sophie Triantaphillidou; Ralph E. Jacobson

doi:10.1117/12.871986

24 January 2011 Device-dependent scene-dependent quality predictions using effective pictorial information capacity

Kyung Hoon Oh, Sophie Triantaphillidou, Ralph E. Jacobson

Proceedings Volume 7867, Image Quality and System Performance VIII; 78670R (2011) https://doi.org/10.1117/12.871986
Event: IS&T/SPIE Electronic Imaging, 2011, San Francisco Airport, California, United States

Abstract

This study aims to introduce improvements in the predictions of device-dependent image quality metrics (IQMs). A validation experiment was first carried out to test the success of such a metric, the Effective Pictorial Information Capacity (EPIC), using results from subjective tests involving 32 test scenes replicated with various degrees of sharpness and noisiness. The metric was found to be a good predictor when tested against average ratings but, as expected by device-dependent metrics, it predicted less successfully the perceived quality of individual, non-standard scenes with atypical spatial and structural content. Improvement in predictions was attempted by using a modular image quality framework and its implementation with the EPIC metric. It involves modeling a complicated set of conditions, including classifying scenes into a small number of groups. The scene classification employed for the purpose uses objective scene descriptors which correlate with subjective criteria on scene susceptibility to sharpness and noisiness. The implementation thus allows automatic grouping of scenes and calculation of the metric values. Results indicate that model predictions were improved. Most importantly, they were shown to correlate equally well with subjective quality scales of standard and non-standard scenes. The findings indicate that a device-dependent, scene-dependent image quality model can be achieved.

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Kyung Hoon Oh, Sophie Triantaphillidou, and Ralph E. Jacobson "Device-dependent scene-dependent quality predictions using effective pictorial information capacity", Proc. SPIE 7867, Image Quality and System Performance VIII, 78670R (24 January 2011); https://doi.org/10.1117/12.871986

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KEYWORDS

Image quality

Calibration

Scene classification

Instrument modeling

Imaging systems

Eye

LCDs

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