1 code implementation • 13 Jun 2023 • Guangan Chen, Hanhe Lin, Oliver Wiedemann, Dietmar Saupe
By applying this framework, we created a novel PJND dataset, KonJND++, consisting of 300 source images, compressed versions thereof under JPEG or BPG compression, and an average of 43 ratings of PJND and 129 self-reported locations of JND-critical regions for each source image.
no code implementations • 12 Dec 2022 • Oliver Wiedemann, Vlad Hosu, Shaolin Su, Dietmar Saupe
Through KonX, we provide empirical evidence of label shifts caused by changes in the presentation resolution.
no code implementations • 11 Jul 2022 • Shaolin Su, Hanhe Lin, Vlad Hosu, Oliver Wiedemann, Jinqiu Sun, Yu Zhu, Hantao Liu, Yanning Zhang, Dietmar Saupe
An accurate computational model for image quality assessment (IQA) benefits many vision applications, such as image filtering, image processing, and image generation.