TY - GEN
T1 - An adaptive tone mapping algorithm for high dynamic range images
AU - Zhang, Jian
AU - Kamata, Sei Ichro
N1 - Copyright:
Copyright 2009 Elsevier B.V., All rights reserved.
PY - 2009
Y1 - 2009
N2 - Real world scenes contain a large range of light intensities which range from dim starlight to bright sunlight. A common task of tone mapping algorithms is to reproduce high dynamic range(HDR) images on low dynamic range(LDR) display devices such as printers and monitors. In this paper, a new tone mapping algorithm is proposed for the display of HDR images. Inspired by the adaptive process of the human visual system, the proposed algorithm utilized the center-surround Retinex processing. The novelty of our method is that the local details are enhanced according to a non-linear adaptive spatial filter (Gaussian filter), whose shape is adapted to high-contrast edges of the image. The proposed method uses an adaptive surround instead of the traditional pre-defined circular. Therefore, the algorithm can preserve visibility and contrast impression of high dynamic range scenes in the common display devices. The proposed method is tested on a variety of HDR images, and we also compare it to previous work. The results show good performance of our method in terms of visual quality.
AB - Real world scenes contain a large range of light intensities which range from dim starlight to bright sunlight. A common task of tone mapping algorithms is to reproduce high dynamic range(HDR) images on low dynamic range(LDR) display devices such as printers and monitors. In this paper, a new tone mapping algorithm is proposed for the display of HDR images. Inspired by the adaptive process of the human visual system, the proposed algorithm utilized the center-surround Retinex processing. The novelty of our method is that the local details are enhanced according to a non-linear adaptive spatial filter (Gaussian filter), whose shape is adapted to high-contrast edges of the image. The proposed method uses an adaptive surround instead of the traditional pre-defined circular. Therefore, the algorithm can preserve visibility and contrast impression of high dynamic range scenes in the common display devices. The proposed method is tested on a variety of HDR images, and we also compare it to previous work. The results show good performance of our method in terms of visual quality.
KW - Gaussian filter
KW - High dynamic range
KW - Hilbert scan
KW - Retinex
KW - Tone mapping
UR - http://www.scopus.com/inward/record.url?scp=70249135268&partnerID=8YFLogxK
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U2 - 10.1007/978-3-642-03265-3_22
DO - 10.1007/978-3-642-03265-3_22
M3 - Conference contribution
AN - SCOPUS:70249135268
SN - 3642032648
SN - 9783642032646
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 207
EP - 215
BT - Computational Color Imaging - Second International Workshop, CCIW 2009, Revised Selected Papers
T2 - 2nd International Workshop on Computational Color Imaging, CCIW 2009
Y2 - 26 March 2009 through 27 March 2009
ER -