Name
Title | ||
|---|---|---|
Improved Sparse 3d Transform-Domain Collaborative Filter For Screen Content Image Denoising |
Abstract | ||
|---|---|---|
Screen content videos or images are widely used in applications such as screen sharing. Compressed screen content videos or images may have distortions or noises because of the quantization process. This paper proposes an improved sparse 3D transform-domain collaborative filter to enhance screen content image quality by block classification and block segmentation. Experimental results show that the proposed algorithm achieves a peak signal-to-noise ratio increase and subjective visual quality improvements for reconstructed screen content images. |
Year | DOI | Venue |
|---|---|---|
2018 | 10.1142/S021800141854006X | INTERNATIONAL JOURNAL OF PATTERN RECOGNITION AND ARTIFICIAL INTELLIGENCE |
Keywords | Field | DocType |
Screen content video, block-matching, collaborative filtering, denoising, HEVC | Noise reduction,Computer vision,Collaborative filtering,Pattern recognition,Segmentation,Computer science,Image quality,Image denoising,Artificial intelligence,Quantization (signal processing) | Journal |
Volume | Issue | ISSN |
32 | 3 | 0218-0014 |
Citations | PageRank | References |
0 | 0.34 | 12 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Zhi Liu | 1 | 11 | 9.83 |
| Shuai Wang | 2 | 252 | 48.81 |
| Mengmeng Zhang | 3 | 2 | 4.79 |