No-reference stereoscopic image-quality metric accounting for left and right similarity map and spatial structure degradation
journal contributionposted on 01.02.2017, 15:14 by Huanling Wang, Jiachen Yang, Wen Lu, Baihua LiBaihua Li, Kun Tian, Qinggang MengQinggang Meng
Blind quality assessment of 3D images is used to confront more real challenges than 2D images. In this Letter, we develop a no-reference stereoscopic image quality assessment (SIQA) model based on the proposed left and right (LR)-similarity map and structural degradation. In the proposed method, local binary pattern features are extracted from the cyclopean image that are effective for describing the distortion of 3D images. More importantly, we first propose the LR-similarity map that can indicate the stereopair quality and demonstrate that the use of LR-similarity information results in a consistent improvement in the performance. The massive experimental results on the LIVE 3D and IRCCyN IQA databases demonstrate that the designed model is strongly correlated to subjective quality evaluations and competitive to the state-of-the-art SIQA algorithms.
This research was funded by National Natural Science Foundation of China (NSFC) (61471260, 61271324); Natural Science Foundation of Tianjin (16JCYBJC16000)
- Computer Science