Abstract
Common image compression standards such as JPEG and MPEG can lead to blocking artifacts which causes serious image degradation. In this paper, a non-local means filter for deblocking was proposed and its parameters were adaptively optimized by machine learning. The experimental results prove that the proposed algorithm constantly outperforms the peer ones on all kinds of images.
| Original language | English |
|---|---|
| Pages (from-to) | 1930-1933 |
| Number of pages | 4 |
| Journal | Shanghai Jiaotong Daxue Xuebao/Journal of Shanghai Jiaotong University |
| Volume | 47 |
| Issue number | 12 |
| State | Published - 2013 |
| Externally published | Yes |
Keywords
- Adaptive non-local means filter
- Deblocking
- Machine learning