10 papers
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…
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…
Uncertainty-driven Sampling for Efficient Pairwise Comparison Subjective Assessment
Shima Mohammadi, João Ascenso
Assessing image quality is crucial in image processing tasks such as compression, super-resolution, and denoising. While subjective assessments involving human evaluators provide t…
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…
Fidelity-preserving Learning-Based Image Compression: Loss Function and Subjective Evaluation Methodology
Shima Mohammadi, Yaojun Wu, João Ascenso
Learning-based image compression methods have emerged as state-of-the-art, showcasing higher performance compared to conventional compression solutions. These data-driven approache…
Evaluation of Sampling Algorithms for a Pairwise Subjective Assessment Methodology
Shima Mohammadi, Joao Ascenso
Subjective assessment tests are often employed to evaluate image processing systems, notably image and video compression, super-resolution among others and have been used as an ind…
Perceptual impact of the loss function on deep-learning image coding performance
Shima Mohammadi, Joao Ascenso
Nowadays, deep-learning image coding solutions have shown similar or better compression efficiency than conventional solutions based on hand-crafted transforms and spatial predicti…
Predictive Sampling for Efficient Pairwise Subjective Image Quality Assessment
Shima Mohammadi, João Ascenso
Subjective image quality assessment studies are used in many scenarios, such as the evaluation of compression, super-resolution, and denoising solutions. Among the available subjec…