您当前的位置：
首页 >
文章列表页 >
Low contrast image denoising algorithm based on non local self similarity
更新时间：2025-09-12

    • Low contrast image denoising algorithm based on non local self similarity

    • “In the field of image processing, researchers have designed a low contrast image denoising algorithm based on non local self similarity, which effectively improves image edge smoothness and enhances clarity. The experimental results show that the algorithm can preserve the original information and structural information, making the denoised image more natural and realistic visually.”
    • Journal of Jilin University(Engineering and Technology Edition)   Vol. 55, Issue 7, Pages: 2378-2382(2025)
    • 作者机构：

      长江大学 地球物理与石油资源学院，武汉 430100

    • DOI：10.13229/j.cnki.jdxbgxb.20240594    

      CLC： TP391

    • Received：29 May 2024，

      Published：01 July 2025

    移动端阅览

  • LIU Di-ren,MA Ao.Low contrast image denoising algorithm based on non local self similarity[J].Journal of Jilin University(Engineering and Technology Edition),2025,55(07):2378-2382. DOI： 10.13229/j.cnki.jdxbgxb.20240594.

  •  
  •  

0

Views

5

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

No data

Related Institution

No data
0