September 2022 | NTIA Technical Memo TM-22-563

ITSnoise: An Image Quality Dataset With Sensor Noise

Joel Dumke; Margaret H. Pinson

Abstract: This technical memorandum provides details for the image quality subjective experiment ITSnoise. This experiment includes 24 scenes, each digitally photographed using 12 different Image Capture Methods (ICMs) for a total of 288 images. The ICMs were designed to reflect the way images are captured in the most common public safety applications and also to generate a range of different sensor noise levels in the resulting images, from very low to very high. This dataset was intended to provide training and testing data for potential no-reference sensor noise metrics that could automatically predict the impact on perceived quality of sensor noise within a given image. This dataset is freely available for research and development purposes.

Keywords: image quality; subjective testing; public safety

For technical information concerning this report, contact:

Joel Dumke
Institute for Telecommunication Sciences
(303) 497-4418

To request a reprint of this report, contact:

Lilli Segre, Publications Officer
Institute for Telecommunication Sciences
(303) 497-3572

Disclaimer: Certain commercial equipment, components, and software may be identified in this report to specify adequately the technical aspects of the reported results. In no case does such identification imply recommendation or endorsement by the National Telecommunications and Information Administration, nor does it imply that the equipment or software identified is necessarily the best available for the particular application or uses.

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