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.

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

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