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Subjective Image Quality Assessment with Boosted Triplet Comparisons
We also provide the details for Thurstonian scale reconstruction from TC and our annotated dataset, KonFiG-IQA, containing 10 source images, processed using 7 distortion types at 12 or even 30 levels, uniformly spaced over a span of 3 JND units.
Subjective Annotation for a Frame Interpolation Benchmark using Artefact Amplification
This re-ranking not only shows the necessity of visual quality assessment as another evaluation metric for optical flow and frame interpolation benchmarks, the results also provide the ground truth for designing novel image quality assessment (IQA) methods dedicated to perceptual quality of interpolated images.
Technical Report on Visual Quality Assessment for Frame Interpolation
visual quality of interpolated frames mostly based on optical flow estimation.
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