Name
Abstract | ||
|---|---|---|
Sometimes it is very difficult to obtain high-quality images because of the limitations of image-capturing devices and the environment. Gamma correction (GC) is widely used for image enhancement. However, traditional GC perhaps cannot preserve image details and may even reduce local contrast within high-illuminance regions. Therefore, we first define two couples of quasi-symmetric correction functions (QCFs) to solve these problems. Moreover, we propose a novel low-light image enhancement method based on proposed QCFs by fusion, which combines a globally-enhanced image by QCFs and a locally-enhanced image by contrast-limited adaptive histogram equalization (CLAHE). A large number of experimental results showed that our method could significantly enhance the detail and improve the contrast of low-light images. Our method also has a better performance than other state-of-the-art methods in both subjective and objective assessments. |
Year | DOI | Venue |
|---|---|---|
2020 | 10.3390/sym12091561 | SYMMETRY-BASEL |
Keywords | DocType | Volume |
low-light image enhancement,gamma correction,quasi-symmetric correction function,image fusion | Journal | 12 |
Issue | Citations | PageRank |
9 | 0 | 0.34 |
References | Authors | |
0 | 4 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Changli Li | 1 | 0 | 1.35 |
| Shiqiang Tang | 2 | 0 | 0.68 |
| Jingwen Yan | 3 | 0 | 0.68 |
| Teng Zhou | 4 | 0 | 0.34 |