2 citations · 2 across the 4 of their papers we have counts for
4 papers
UHD-IQA Benchmark Database: Pushing the Boundaries of Blind Photo Quality Assessment
Vlad Hosu, Lorenzo Agnolucci, Oliver Wiedemann +2
We introduce a novel Image Quality Assessment (IQA) dataset comprising 6073 UHD-1 (4K) images, annotated at a fixed width of 3840 pixels. Contrary to existing No-Reference (NR) IQA…
Localization of Just Noticeable Difference for Image Compression
Guangan Chen, Hanhe Lin, Oliver Wiedemann +1
The just noticeable difference (JND) is the minimal difference between stimuli that can be detected by a person. The picture-wise just noticeable difference (PJND) for a given refe…
KonX: Cross-Resolution Image Quality Assessment
Oliver Wiedemann, Vlad Hosu, Shaolin Su +1
Scale-invariance is an open problem in many computer vision subfields. For example, object labels should remain constant across scales, yet model predictions diverge in many cases.…
Going the Extra Mile in Face Image Quality Assessment: A Novel Database and Model
Shaolin Su, Hanhe Lin, Vlad Hosu +6
An accurate computational model for image quality assessment (IQA) benefits many vision applications, such as image filtering, image processing, and image generation. Although the…