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Quality assessment for super-resolution image enhancement | IEEE Conference Publication | IEEE Xplore

Quality assessment for super-resolution image enhancement


Abstract:

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...Show More

Abstract:

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.
Date of Conference: 08-11 October 2006
Date Added to IEEE Xplore: 20 February 2007
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Conference Location: Atlanta, GA, USA

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