The Influence of Different Saliency on Full-Reference Sonar Image Quality Evaluation

2019 2nd International Conference on Advanced Materials, Intelligent Manufacturing and Automation

Zhang, Huiqing^1^2 ; Li, Shuo^1^2 ; Chen, Weiling^3 ; Liu, Yutao^4

Faculty of Information Technology, Beijing University of Technology, Beijing

100124, China^1

Engineering Research Center of Digital Community, Ministry of Education, Beijing

100124, China^2

College of Physics and Information Engineering, Fuzhou University, Fuzhou

350108, China^3

Graduate School at Shenzhen, Tsinghua University, Shenzhen

518055, China^4

关键词: Deep sea biologies;    Experimental analysis;    Full references;    Human attention;    Image quality evaluation;    Performance Gain;    Saliency modeling;    Underwater acoustic channels;   

Others  :  https://iopscience.iop.org/article/10.1088/1757-899X/569/5/052093/pdf
DOI  :  10.1088/1757-899X/569/5/052093

来源: IOP

【 摘 要 】

With the advent of sonar technology, our understanding of the ocean has become more comprehensive, especially for deep sea biology and geology. However, the sonar image is easily degraded during the underwater acoustic channel acquisition process, which affects the later research work. To this end, this paper compares and analyzes multiple saliency models and combines them with PSNR, SSIM and GSIM to explore an effective sonar image quality evaluation method. Finally, an experimental analysis on the newly established sonar image quality database shows that the difference of the significance model in predicting human attention has a performance gain effect on the image quality evaluation method when fused with the saliency model.