2021 IEEE International Conference on Acoustics, Speech and Signal Processing

6-11 June 2021 • Toronto, Ontario, Canada

Extracting Knowledge from Information

2021 IEEE International Conference on Acoustics, Speech and Signal Processing

6-11 June 2021 • Toronto, Ontario, Canada

Extracting Knowledge from Information

Technical Program

Paper Detail

Paper IDIVMSP-21.6
Paper Title NO-REFERENCE STEREOSCOPIC IMAGE QUALITY ASSESSMENT BASED ON THE HUMAN VISUAL SYSTEM
Authors Fan Meng, Sumei Li, Yongli Chang, Tianjin University, China
SessionIVMSP-21: Image & Video Quality
LocationGather.Town
Session Time:Thursday, 10 June, 14:00 - 14:45
Presentation Time:Thursday, 10 June, 14:00 - 14:45
Presentation Poster
Topic Image, Video, and Multidimensional Signal Processing: [IVSMR] Image & Video Sensing, Modeling, and Representation
IEEE Xplore Open Preview  Click here to view in IEEE Xplore
Virtual Presentation  Click here to watch in the Virtual Conference
Abstract Stereoscopic image quality assessment (SIQA) is to predict the human perception quality of stereoscopic image pairs, which is more challenging than previous 2D image quality assessment due to the complicated binocular vision mechanism in the human visual system (HVS). Recently witnessed the significant progress of biotechnology and motivated by the deeper research on the HVS, we take a step to bridge the gap between HVS and SIQA by generalizing the optic chiasma algorithm and introducing biological vision fusion mechanism in our work. Firstly, a network structure is proposed in our work, which consists of an optic chiasma module for binocular information exchange and a multi-scale feature extraction module for binocular information fusion. Secondly, a mutual-perception attention fusion module is designed for simulating binocular fusion. In addition, we come up with an innovative data enhancement method. Experimental results show that the image quality assessment score obtained by the network is more consistent with human perception.