Visualization of high dynamic range images
Resumen:
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.
2002 | |
Image processing Data visualisation |
|
Inglés | |
Universidad de la República | |
COLIBRI | |
https://hdl.handle.net/20.500.12008/21223 | |
Acceso abierto | |
Licencia Creative Commons Atribución – No Comercial – Sin Derivadas (CC - By-NC-ND) |
Resultados similares
-
Visualization of high dynamic range images
Autor(es):: Pardo, Alvaro
Fecha de publicación:: (2003) -
Single shot high dynamic range imaging
Autor(es):: Aguerrebere, Cecilia
Fecha de publicación:: (2014) -
The DUDE framework for continuous tone images denoising
Autor(es):: Motta, G
Fecha de publicación:: (2005) -
Multi-focus computational optical Imaging in Fourier Domain
Autor(es):: Alonso, Julia
Fecha de publicación:: (2016) -
Connecting the out-of-sample and pre-image problems in kernel methods
Autor(es):: Arias, Pablo
Fecha de publicación:: (2007)