Pattern Recognition
Tone-mapping high dynamic range images by novel histogram adjustment
Pattern Recognition
High dynamic range scene realization using two complementary images
ACCV'07 Proceedings of the 8th Asian conference on Computer vision - Volume Part I
Uncontrolled modulation imaging
CVPR'04 Proceedings of the 2004 IEEE computer society conference on Computer vision and pattern recognition
Photography enhancement based on the fusion of tone and color mappings in adaptive local region
IEEE Transactions on Image Processing
Segmentation based tone-mapping for high dynamic range images
ACIVS'11 Proceedings of the 13th international conference on Advanced concepts for intelligent vision systems
Hi-index | 0.01 |
A novel paradigm for information visualization in high dynamic range images is presented in this paper. These images, real or synthetic, have luminance with typical ranges many orders of magnitude higher than that of standard output/viewing devices, thereby requiring some processing for their visualization. In contrast with existent approaches, which compute a single image with reduced range, close in a given sense to the original data, we propose to look for a representative set of images. The goal is then to produce a minimal set of images capturing the information all over the high dynamic range data, while at the same time preserving a natural appearance for each one of the images in the set. A specific algorithm that achieves this goal is presented and tested on natural and synthetic data.