您当前的位置：
首页 >
文章列表页 >
Image quality assessment based on meta-learning and distortion perception
Image Processing | 更新时间：2024-11-28

    • Image quality assessment based on meta-learning and distortion perception

    • “In the field of image quality evaluation, researchers have proposed an image quality evaluation method that combines meta learning and distortion perception, effectively improving the model's generalization performance between different distortion types and being competitive in evaluation accuracy.”
    • Chinese Journal of Liquid Crystals and Displays   Vol. 39, Issue 11, Pages: 1519-1531(2024)

    • DOI：10.37188/CJLCD.2024-0141    

      CLC： TP391

    • Received：11 May 2024，

      Revised：08 June 2024，

      Published：05 November 2024

    移动端阅览

  • WAN Bingchen, ZHANG Xuande. Image quality assessment based on meta-learning and distortion perception[J]. Chinese journal of liquid crystals and displays, 2024, 39(11): 1519-1531. DOI： 10.37188/CJLCD.2024-0141.

  •  
  •  

0

Views

501

下载量

0

CSCD

Alert me when the article has been cited
提交
Tools
Download
Export Citation
Share
Add to favorites
Add to my album

Related Articles

No data

Related Author

WAN Bingchen

Related Institution

No data
0