Stereo image quality assessment using deformed pixels and Sobel magnitude

• Published in: Journal of intelligent & fuzzy systems Vol. 44; no. 5; pp. 7599 - 7611
• Main Authors: Ahmed Seghir, Zianou, Djezzar, Meriem, Hemam, Mounir, Zeggari, Ahmed, Hachouf, Fella
• Format: Journal Article
• Language: English
• Published: Amsterdam IOS Press BV 04.05.2023
• Subjects: Data compression; Image compression; Image quality; Mathematical analysis; Pixels; Quality assessment; Similarity; Stereoscopy
• ISSN: 1064-1246; 1875-8967
• DOI: 10.3233/JIFS-223375

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.