Toward domain transfer for no-reference quality prediction of asymmetrically distorted stereoscopic images

• Main Authors: Shao, Feng, Zhang, Zhuqing, Jiang, Qiuping, Lin, Weisi, Jiang, Gangyi
• Other Authors: School of Computer Science and Engineering
• Format: Article
• Language: English
• Published: 2020
• Subjects: Engineering::Computer science and engineering; Category Consistent Term; Dictionary Learning
• Online Access: https://hdl.handle.net/10356/142241

We have presented a no-reference quality prediction method for asymmetrically distorted stereoscopic images, which aims to transfer the information from source feature domain to its target quality domain using a label consistent K-singular value decomposition classification framework. To this end, w...