Publication
Towards JPEG AIC part 3: visual quality assessment of high to visually lossless image coding
Publications associées (101)
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 ...
Springer2024On the assessment of high-quality images: advances on the JPEG AIC-3 activity
Touradj Ebrahimi, Evgeniy Upenik, Michela Testolina
Recent advances in image compression have made it both possible and desirable for image quality to approach the visually lossless range. However, the most commonly used subjective visual quality assessment protocols, e.g. those reported in ITU-T Rec. BT.50 ...
2023JPEG 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 ...
2023Evaluation of the impact of lossy compression on event camera-based computer vision tasks
Touradj Ebrahimi, Davi Nachtigall Lazzarotto, Bowen Huang
In the field of image acquisition, Dynamic Vision Sensors (DVS) present an innovative methodology, capturing only the variations in pixel brightness instead of absolute values and thereby revealing unique features. Given that the primary deployment of DVS ...
2023Towards learning-based image compression for storage on DNA support
Touradj Ebrahimi, Michela Testolina
The demand for data storage has grown exponentially over the past decades. Current archival solutions have significant shortcomings, such as high resource requirements and a lack of sufficient longevity. In contrast, research on DNA-based storage has been ...
2023Influence of Spatial Rendering on the Performance of Point Cloud Objective Quality Metrics
Touradj Ebrahimi, Michela Testolina
The use of point clouds to digitally represent three-dimensional objects with both geometry and color attributes is rapidly increasing in several applications. Since storage and transmission of uncompressed point cloud data are often impractical, several l ...
IEEE2022Volume change response and fabric evolution of granular MX80 bentonite along different hydro-mechanical stress paths
Alessio Ferrari, Jose Antonio Bosch Llufriu, Patrycja Ewelina Baryla
Despite the increasing understanding of bentonite behaviour, there is still missing evidence on how different hydro-mechanical loadings, including sequences of hydration and compression, affect the fabric and the volume change behaviour of the material. It ...
Springer Nature2022An Accuracy-Driven Compression Methodology to Derive Efficient Codebook-Based CNNs
David Atienza Alonso, Giovanni Ansaloni, Miguel Peon Quiros, Flavio Ponzina
Codebook-based optimizations are a class of algorithmic-level transformations able to effectively reduce the computing and memory requirements of Convolutional Neural Networks (CNNs). This approach tightly limits the number of unique weights in each layer, ...
2022reference image data (primary views) for an office building near LAX
image data compressed by view and season (months 1-2-3, 4-5-6, 7-8-9, 10-11-12) see 10.5281/zenodo.6322418 for source files ...
Zenodo2022