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Proceedings Paper

An optimizing processing approach to contrast correction based on nonlinear mapping of windowed tone
Author(s): Ming Gao; Shiyin Qin
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Paper Abstract

A contrast correction method is presented based on nonlinear mapping of windowed tone. The main idea of method is to employ the local nonlinear mapping model on the small size with overlapping windows of traversal the whole image. At first, a high dynamic range (HDR) image contrast correction is introduced, and then through the formula deduction, a model for decision optimization of contrast correction is established, in which some constraints are termed as two adaptive guided images based on human visual properties so as to improve the optimal solution. Finally, the optimal contrast correction can be implemented by solving the optimizing processing problem through a linearized reduction. A series of experiments with the HDR natural images are carried out and the results of objective quality metrics have showed that the proposed method can effectively improve and optimize the contrast correction to outperform those current existing methods.

Paper Details

Date Published: 4 March 2015
PDF: 7 pages
Proc. SPIE 9443, Sixth International Conference on Graphic and Image Processing (ICGIP 2014), 94431D (4 March 2015); doi: 10.1117/12.2179090
Show Author Affiliations
Ming Gao, Beihang Univ. (China)
Shiyin Qin, Beihang Univ. (China)


Published in SPIE Proceedings Vol. 9443:
Sixth International Conference on Graphic and Image Processing (ICGIP 2014)
Yulin Wang; Xudong Jiang; David Zhang, Editor(s)

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