Publication
Quality assessment of an HDR dual-layer backward-compatible codec compared to uncompromised SDR and HDR solutions
Related publications (44)
Subjective performance evaluation of bitrate allocation strategies for MPEG and JPEG Pleno point cloud compression
Touradj Ebrahimi, Michela Testolina, Davi Nachtigall Lazzarotto
The recent rise in interest in point clouds as an imaging modality has motivated standardization groups such as JPEG and MPEG to launch activities aiming at developing compression standards for point clouds. Lossy compression usually introduces visual arti ...
Springer2024JPEG AIC-3 Dataset: Towards Defining the High Quality to Nearly Visually Lossless Quality Range
Touradj Ebrahimi, Michela Testolina, Davi Nachtigall Lazzarotto, Vlad Hosu
Visual data play a crucial role in modern society, and the rate at which images and videos are acquired, stored, and exchanged every day is rapidly increasing. Image compression is the key technology that enables storing and sharing of visual content in an ...
2023On the Performance of Subjective Visual Quality Assessment Protocols for Nearly Visually Lossless Image Compression
Touradj Ebrahimi, Michela Testolina
The past decades have witnessed rapid growth in imaging as a major form of communication between individuals. Due to recent advances in capture, storage, delivery and display technologies, consumers demand improved perceptual quality while requiring reduce ...
2023Towards JPEG AIC part 3: visual quality assessment of high to visually lossless image coding
Touradj Ebrahimi, Evgeniy Upenik, Michela Testolina
Due to the increasing number of pictures captured and stored every day by and on digital devices, lossy image compression has become inevitable to limit the needed storage requirement. As a consequence, these compression methods might introduce some visual ...
SPIE2022Performance Evaluation of Objective Image Quality Metrics on Conventional and Learning-Based Compression Artifacts
Touradj Ebrahimi, Evgeniy Upenik, Michela Testolina
Lossy image compression is a popular, simple and effective solution to reduce the amount of data representing digital pictures. In most lossy compression methods, the reduced volume of data in bits is achieved at the expense of introducing visual artifacts ...
2021High-Throughput Lossy-to-Lossless 3D Image Compression
Gilles Fourestey, Félix Schmidt
The rapid increase in medical and biomedical image acquisition rates has opened up new avenues for image analysis, but has also introduced formidable challenges. This is evident, for example, in selective plane illumination microscopy where acquisition rat ...
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC2021Image Compression and Quality Assessment using Convolutional Neural Networks
The rapid development of digital imaging and video has placed visual contents in the heart of our lives. Digital multimedia span a vast number of areas from business to leisure, including but not limited to education, medicine, accessibility, training, adv ...
EPFL2020Benchmarking JPEG XL image compression
Touradj Ebrahimi, Evgeniy Upenik
JPEG XL is a practical, royalty-free codec for scalable web distribution and efficient compression of high-quality photographs. It also includes previews, progressiveness, animation, transparency, high dynamic range, wide color gamut, and high bit depth. U ...
SPIE2020High dynamic range image sharing with privacy protection
Touradj Ebrahimi, Evgeniy Upenik, Pol Fernandez Marti
Sharing pictures has become a very popular practice among consumers. Most recent cameras, displays, and smartphones can capture and display images in high dynamic range and wide colour gamut, contributing to an increase of this type of content. It is a wel ...
SPIE2020Compression and visual quality assessment for light field contents
Since its invention in the 19th century, photography has allowed to create durable images of the world around us by capturing the intensity of light that flows through a scene, first analogically by using light-sensitive material, and then, with the advent ...
EPFL2019