Name
Abstract | ||
|---|---|---|
Tone mapping operators are used to compress a large range of pixel luminances into a smaller range, which can be displayed on a monitor screen. In this paper, an effective and easy-to-use tone mapping operator based on the latest ideas developed in this field is presented. The parameter estimation process relies on the sampling method. Special attention is given to the robustness of the algorithm for the parameter estimation. The suggested tone mapping operator ensures good quality of images and almost does not require manual parameter tuning. |
Year | DOI | Venue |
|---|---|---|
2004 | 10.1023/B:PACS.0000043052.33460.48 | Programming and Computer Software |
Keywords | Field | DocType |
large range,parameter estimation,high dynamic range images,effective tone mapping operator,good quality,tone mapping operator,parameter estimation process,latest idea,suggested tone mapping operator,easy-to-use tone mapping operator,manual parameter tuning,smaller range,tone mapping,sampling methods | Computer vision,Computer science,Robustness (computer science),Tone mapping,Operator (computer programming),Artificial intelligence,Sampling (statistics),Pixel,Estimation theory,High dynamic range | Journal |
Volume | Issue | ISSN |
30 | 5 | 1608-3261 |
Citations | PageRank | References |
5 | 0.88 | 12 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| B. Kh. Barladian | 1 | 7 | 2.11 |
| A. G. Voloboi | 2 | 12 | 2.94 |
| V. A. Galaktionov | 3 | 23 | 5.25 |
| E. A. Kopylov | 4 | 11 | 1.88 |