Name
Abstract | ||
|---|---|---|
Global tone mapping operators (TMOs) are better in preserving the naturalness and relative illumination of the HDR scene compared to the local TMOs. However, they cannot preserve the details like the local TMOs. We propose a human visual system (HVS) based histogram method for global tone mapping, which can better preserve the details than the existing global TMOs. Our method can be incorporated to all histogram based global methods. We compare our results with traditional histogram adjustment by Ward et al. [Larson97] and photographic TMO [Reinhard2002], and in most of the cases our method is better in preserving the details of the input HDR images. |
Year | DOI | Venue |
|---|---|---|
2009 | 10.1145/1667146.1667183 | ACM SIGGRAPH ASIA 2009 Sketches |
Keywords | DocType | Citations |
histogram method,input hdr image,hdr scene,traditional histogram adjustment,global tone mapping,global method,local tmos,human visual system,global tone mapping operator,existing global tmos,computational modeling,tone mapping | Conference | 0 |
PageRank | References | Authors |
0.34 | 1 | 5 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Ishtiaq Rasool Khan | 1 | 78 | 15.92 |
| Zhiyong Huang | 2 | 106 | 11.79 |
| Farzam Farbiz | 3 | 475 | 52.46 |
| Corey Manders | 4 | 89 | 13.16 |
| Susanto Rahardja | 5 | 652 | 102.05 |