Quality assessment for super-resolution image enhancement

Quality assessment for super-resolution image enhancement

A typical image formation model for super-resolution (SR) introduces blurring, aliasing, and added noise. The enhancement itself may also introduce ringing. In this paper, we use subjective tests to assess the visual quality of SR-enhanced images. We then examine how well some existing objective qua...

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Bibliographische Detailangaben
Hauptverfasser: Reibman, A. R., Bell, R. M., Gray, S.
Format: Tagungsbericht
Sprache:eng
Schlagworte:
Frequency estimation
Image enhancement
Image quality
Image resolution
Image sampling
PSNR
Quality assessment
Spatial resolution
Strontium
Testing
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Beschreibung
Zusammenfassung:A typical image formation model for super-resolution (SR) introduces blurring, aliasing, and added noise. The enhancement itself may also introduce ringing. In this paper, we use subjective tests to assess the visual quality of SR-enhanced images. We then examine how well some existing objective quality metrics can characterize the observed subjective quality. Even full-reference metrics like MSE and SSIM do not always capture visual quality of SR images with and without residual aliasing.
ISSN:1522-4880
2381-8549
DOI:10.1109/ICIP.2006.312895