Name
Abstract | ||
|---|---|---|
Existing contrast enhancement techniques, such as histogram equalization (HE) and optimal contrast-tone mapping (OCTM), construct a pixel mapping function based on probability. However, they often allocate a large dynamic range to smooth areas, thus preventing the allocation of dynamic range resources in some regions that people are more interested in. To deal with this problem, we propose optimiz... |
Year | DOI | Venue |
|---|---|---|
2017 | 10.1109/TCSVT.2016.2527339 | IEEE Transactions on Circuits and Systems for Video Technology |
Keywords | Field | DocType |
Histograms,Visualization,Dynamic range,Distortion,Resource management,Brightness,Lighting | Computer vision,Histogram,Pattern recognition,Computer science,Salience (neuroscience),Histogram matching,Adaptive histogram equalization,Tone mapping,Artificial intelligence,Pixel,Histogram equalization,Distortion | Journal |
Volume | Issue | ISSN |
27 | 6 | 1051-8215 |
Citations | PageRank | References |
1 | 0.37 | 23 |
Authors | ||
2 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Cheolkon Jung | 1 | 342 | 47.75 |
| Tingting Sun | 2 | 6 | 5.56 |