%0 Conference Proceedings
%4 sid.inpe.br/sibgrapi/2016/09.05.01.16
%2 sid.inpe.br/sibgrapi/2016/09.05.01.16.11
%T High Dynamic Range Tone Mapping Algorithm Based on Image Feature Maps
%D 2016
%A Santos, Matheus V. dos,
%A Farias, Mylene C. Q.,
%@affiliation University of Brasilia
%@affiliation University of Brasilia
%E Aliaga, Daniel G.,
%E Davis, Larry S.,
%E Farias, Ricardo C.,
%E Fernandes, Leandro A. F.,
%E Gibson, Stuart J.,
%E Giraldi, Gilson A.,
%E Gois, João Paulo,
%E Maciel, Anderson,
%E Menotti, David,
%E Miranda, Paulo A. V.,
%E Musse, Soraia,
%E Namikawa, Laercio,
%E Pamplona, Mauricio,
%E Papa, João Paulo,
%E Santos, Jefersson dos,
%E Schwartz, William Robson,
%E Thomaz, Carlos E.,
%B Conference on Graphics, Patterns and Images, 29 (SIBGRAPI)
%C São José dos Campos, SP, Brazil
%8 4-7 Oct. 2016
%I Sociedade Brasileira de Computação
%J Porto Alegre
%S Proceedings
%K High Dynamic Range, image processing, tone map- ping, photograph.
%X Photographs produced by single-lens reflex (SLR) cameras are photos with Low Dynamic Range (LDR). To obtain photographs with a high dynamic range (HDR), i.e. images with radiance values that are closer to actual real life scenes, we need to use a combination of various LDR images captured at different exposure times. In this paper, we propose a new tone mapping algorithm that combines LDR images, taking into consideration a set of feature maps, which include a saliency map, a saturation map, and an error map. The proposed tone mapping algorithm shows good results when compared to state-of-the-art methods.
%@language en
%3 2016-sibgrapi-matheus.pdf