Services on Demand
Journal
Article
Indicators
- Cited by SciELO
- Access statistics
Related links
- Similars in SciELO
Share
Computación y Sistemas
On-line version ISSN 2007-9737Print version ISSN 1405-5546
Abstract
MORENO ESCOBAR, Jesús Jaime; MORALES MATAMOROS, Oswaldo; TEJEIDA PADILLA, Ricardo and QUINTANA ESPINOSA, Hugo. Experimental Assessment of Quality Metrics in Stereoscopic Imaging. Comp. y Sist. [online]. 2019, vol.23, n.4, pp.1215-1239. Epub Aug 09, 2021. ISSN 2007-9737. https://doi.org/10.13053/cys-23-4-3156.
The main objective of this work is to describe the state of the art of the Stereoscopic Image Quality Assessments (SIQA) from recent years, thus, it covers a compendium of models from 2007 to date. Furthermore, this paper summarizes 27 algorithms from 17 authors and their possible variations giving as a result of 280 stereoscopic metrics tested. This benchmarking is not only intended for researchers on the Image Quality Evaluation but also for researchers on the field on acquisition, processing and display of stereoscopic images. To this aim, we present not only a survey on image quality metrics but also psychophysical experiments on image databases available in this field. First, we sketch a general view of the importance of Stereoscopic Imaging. Thus, we propose different classifications in order to group the state of the art of SIQA. Then, we describe the performance of 280 metrics of SIQA using LIVE 3D Image Database. Results of algorithms are evaluated with the main purpose of being a reference for researchers in the Stereoscopic image quality field who want to perform further tests and proposing future models.
Keywords : Quality assessment databases; 3D image quality; stereoscopic image quality; JPEG2000 and stereoscopy.