9 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…
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…
Adversarial Stress Testing of Outlier Detection in Subjective Image Quality Assessment
Dietmar Saupe
In subjective image and video quality assessment, observers rate or compare selected stimuli. Before calculating mean opinion scores (MOSs), unreliable ratings should be identified…
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…
Subjective Visual Quality Assessment for High-Fidelity Learning-Based Image Compression
Mohsen Jenadeleh, Jon Sneyers, Panqi Jia +3
Learning-based image compression methods have recently emerged as promising alternatives to traditional codecs, offering improved rate-distortion performance and perceptual quality…
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 subjective visual quality assessment for high-fidelity compressed images
Michela Testolina, Mohsen Jenadeleh, Shima Mohammadi +5
Advances in image compression, storage, and display technologies have made high-quality images and videos widely accessible. At this level of quality, distinguishing between compre…
Maximum entropy and quantized metric models for absolute category ratings
Dietmar Saupe, Krzysztof Rusek, David Hägele +2
The datasets of most image quality assessment studies contain ratings on a categorical scale with five levels, from bad (1) to excellent (5). For each stimulus, the number of ratin…