Affiliations: [a] Khenchela University, ICOSI Laboratory, BP 1252 El Houria, Khenchela, Algeria
| [b] Math and Computer Sciences Dept. University of Tebessa, Tebessa. Algeria
| [c] Automatic and Robotic Laboratory, Mentouri Constantine University, Algeria
Correspondence:
[*]
Corresponding author. Zianou Ahmed Seghir, Khenchela University, ICOSI Laboratory, BP 1252 El Houria, 40004 Khenchela, Algeria. E-mail: zianou_ahmed_seghir@yahoo.fr.
Abstract: The application of 3D technology is rapidly expanding, and stereoscopic imagery is typically used to display 3D data. However, compression, transmission, and other necessary processes may reduce the quality of these images. Stereo image quality assessment (SIQA) has gained more attention to guarantee that customers have a positive watching experience. In order to provide the highest level of experience, it is necessary to develop a quality evaluation mechanism for stereoscopic content that is both dependable and precise. A full-reference method for SIQA is presented in this paper. Compared to previous measures, this method gives users more freedom to use distorted pixel metrics and edge similarity. The binocular summation map is calculated by adding the left and right images for a stereo pair. Improved gradient similarity based distorted pixel measure (SGSDM) is used to calculate the quality of binocular summation. The scored 3D LIVE IQA database is used to evaluate the correlation of the proposed metric with the DMOS subjective score given by the database. The proposed method’s efficacy is demonstrated by experimental comparisons.
