TY - JOUR
T1 - Experimental assessment of quality metrics in stereoscopic imaging
AU - Escobar, Jesus Jaime Moreno
AU - Matamoros, Oswaldo Morales
AU - Padilla, Ricardo Tejeida
AU - Espinosa, Hugo Quintana
N1 - Publisher Copyright:
© 2019 Instituto Politecnico Nacional. All rights reserved.
PY - 2019
Y1 - 2019
N2 - 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.
AB - 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.
KW - 3D image quality
KW - JPEG2000 and stereoscopy
KW - Quality assessment databases
KW - Stereoscopic image quality
UR - http://www.scopus.com/inward/record.url?scp=85077619812&partnerID=8YFLogxK
U2 - 10.13053/CyS-23-4-3156
DO - 10.13053/CyS-23-4-3156
M3 - Artículo
AN - SCOPUS:85077619812
SN - 1405-5546
VL - 23
SP - 1215
EP - 1239
JO - Computacion y Sistemas
JF - Computacion y Sistemas
IS - 4
ER -