Title :
Gradient Based Synthesized Maximum Dense High Dynamic Range Image
Author :
Rövid, András ; Várkonyi-Kóczy, Annamária R. ; Hashimoto, Takeshi ; Shimodaira, Yoshifumi
Author_Institution :
Budapest Univ. of Technol. & Econ., Budapest
fDate :
June 29 2007-July 2 2007
Abstract :
High dynamic range of illumination may cause serious distortions and other problems in viewing and further processing of digital images. In this paper a new tone reproduction preprocessing algorithm is introduced which may help in developing hardly or non-viewable features and content of the images. The method is based on the synthetization of multiple exposure images from which the dense part, i.e. regions having the maximum level of detail are included in the output image. The resulted high quality HDR image makes easier the information extraction and effectively supports the further processing of the image.
Keywords :
feature extraction; gradient methods; image processing; digital image processing; gradient method; high dynamic range image; image synthesis; information extraction; non viewable feature; tone reproduction preprocessing algorithm; Cameras; Digital images; Distortion measurement; Dynamic range; Electric variables measurement; Image edge detection; Image processing; Laplace equations; Layout; Lighting; high dynamic range images; image processing; image reproduction;
Conference_Titel :
Intelligent Engineering Systems, 2007. INES 2007. 11th International Conference on
Conference_Location :
Budapest
Print_ISBN :
1-4244-1147-5
Electronic_ISBN :
1-4244-1148-3
DOI :
10.1109/INES.2007.4283684