title: A simple quality assessment index for stereoscopic images based on 3D gradient magnitude.
abstract: We present a simple quality assessment index for stereoscopic images based on 3D gradient magnitude. To be more specific, we construct 3D volume from the stereoscopic images across different disparity spaces and calculate pointwise 3D gradient magnitude similarity (3D-GMS) along three horizontal, vertical, and viewpoint directions. Then, the quality score is obtained by averaging the 3D-GMS scores of all points in the 3D volume. Experimental results on four publicly available 3D image quality assessment databases demonstrate that, in comparison with the most related existing methods, the devised algorithm achieves high consistency alignment with subjective assessment.
authors.affiliation: Faculty of Information Science and Engineering, Ningbo University, Ningbo 315211, China.
authors.forename: Shanshan
authors.initials: S
authors.lastname: Wang
authors.affiliation: Faculty of Information Science and Engineering, Ningbo University, Ningbo 315211, China.
authors.forename: Feng
authors.initials: F
authors.lastname: Shao
authors.affiliation: Faculty of Information Science and Engineering, Ningbo University, Ningbo 315211, China.
authors.forename: Fucui
authors.initials: F
authors.lastname: Li
authors.affiliation: Faculty of Information Science and Engineering, Ningbo University, Ningbo 315211, China.
authors.forename: Mei
authors.initials: M
authors.lastname: Yu
authors.affiliation: Faculty of Information Science and Engineering, Ningbo University, Ningbo 315211, China.
authors.forename: Gangyi
authors.initials: G
authors.lastname: Jiang
mesh_terms: D000465:Algorithms; D021621:Imaging, Three-Dimensional / Q000379:methods / Q000592:standards*; D011786:Quality Control