7 papers
JPEG AIC2026: A large-scale dataset for fine-grained assessment of image coding
Mohsen Jenadeleh, Jon Sneyers, João Ascenso +8
Recent advances in conventional and learning-based image coding have increased the demand for benchmark datasets that support fine-grained assessment of compressed image quality, p…
Evaluation of Objective Image Quality Metrics for High-Fidelity Image Compression
Shima Mohammadi, Mohsen Jenadeleh, Jon Sneyers +2
Nowadays, image compression solutions are increasingly designed to operate within high-fidelity quality ranges, where preserving even the most subtle details of the original image…
Robustness and accuracy of mean opinion scores with hard and soft outlier detection
Dietmar Saupe, Tim Bleile
In subjective assessment of image and video quality, observers rate or compare selected stimuli. Before calculating the mean opinion scores (MOS) for these stimuli from the ratings…
In-place Double Stimulus Methodology for Subjective Assessment of High Quality Images
Shima Mohammadi, Mohsen Jenadeleh, Michela Testolina +4
This paper introduces a novel double stimulus subjective assessment methodology for the evaluation of high quality images to address the limitations of existing protocols in detect…
Image Intrinsic Scale Assessment: Bridging the Gap Between Quality and Resolution
Vlad Hosu, Lorenzo Agnolucci, Daisuke Iso +1
Image Quality Assessment (IQA) measures and predicts perceived image quality by human observers. Although recent studies have highlighted the critical influence that variations in…
Fine-Grained HDR Image Quality Assessment From Noticeably Distorted to Very High Fidelity
Mohsen Jenadeleh, Jon Sneyers, Davi Lazzarotto +10
High dynamic range (HDR) and wide color gamut (WCG) technologies significantly improve color reproduction compared to standard dynamic range (SDR) and standard color gamuts, result…