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Technical Program
Paper Detail
| Paper: | TP-P5.6 |
| Session: | Image/Video Restoration and Enhancement |
| Time: | Tuesday, October 10, 14:20 - 17:00 |
| Presentation: |
Poster
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| Title: |
QUALITY ASSESSMENT FOR SUPER-RESOLUTION IMAGE ENHANCEMENT |
| Authors: |
Amy Reibman; AT&T Labs - Research | | | | | Robert M. Bell; AT&T Labs - Research | | | | | Sharon Gray; AT&T Labs - Research | | |
| 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. |
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