Name
Abstract | ||
|---|---|---|
This paper presents an efficient perceptual model inspired efficient video contrast enhancement algorithm. We propose a S-shaped transfer function for image pixel values that effectively improves the perceived contrast while preserving brightness of the scene. The S-shaped transfer function has only one control parameter that can be adaptively chosen for different video contents, such as sports, cartoon, news, and landscape programs. Then, the input image brightness is further preserved, in order to maintain the perception of human visual system (HVS) to some special scenes, such as dark scene and seaside scene. Experiments and comparative study on VQEG Phase I test database demonstrate that the proposed S-shaped Transfer function based Brightness Preserving (STBP) contrast enhancement algorithm outperforms various histogram equalization based methods such as HE, DSIHE, RSIHE and WTHE, yet with much lower computational complexity. |
Year | DOI | Venue |
|---|---|---|
2013 | 10.1109/VCIP.2013.6706336 | 2013 IEEE INTERNATIONAL CONFERENCE ON VISUAL COMMUNICATIONS AND IMAGE PROCESSING (IEEE VCIP 2013) |
Keywords | Field | DocType |
Video contrast enhancement, S-shaped transfer curves, human visual system (HVS), video scenes, brightness preservation | Computer vision,Computer science,Human visual system model,Transfer function,Artificial intelligence,Pixel,Histogram equalization,Perception,Brightness,Computational complexity theory | Conference |
Volume | Issue | Citations |
null | null | 8 |
PageRank | References | Authors |
0.51 | 10 | 6 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Ke Gu | 1 | 1321 | 77.21 |
| Guangtao Zhai | 2 | 1707 | 145.33 |
| Min Liu | 3 | 335 | 40.49 |
| Xiongkuo Min | 4 | 337 | 40.88 |
| Xiaokang Yang | 5 | 3581 | 238.09 |
| Wenjun Zhang | 6 | 1789 | 177.28 |