Integral Image-Based Differential Filters
Commenced in January 2007
Frequency: Monthly
Edition: International
Paper Count: 32807
Integral Image-Based Differential Filters

Authors: Kohei Inoue, Kenji Hara, Kiichi Urahama

Abstract:

We describe a relationship between integral images and differential images. First, we derive a simple difference filter from conventional integral image. In the derivation, we show that an integral image and the corresponding differential image are related to each other by simultaneous linear equations, where the numbers of unknowns and equations are the same, and therefore, we can execute the integration and differentiation by solving the simultaneous equations. We applied the relationship to an image fusion problem, and experimentally verified the effectiveness of the proposed method.

Keywords: Integral images, differential images, differential filters, image fusion.

Digital Object Identifier (DOI): doi.org/10.5281/zenodo.1092826

Procedia APA BibTeX Chicago EndNote Harvard JSON MLA RIS XML ISO 690 PDF Downloads 2048

References:


[1] R. C. Gonzalez and R. E. Woods, Digital Image Processing, Addison-Wesley Publishing Company, Inc., 1992.
[2] W. K. Pratt, Digital Image Processing, 3rd ed., John Wiley & Sons, Inc., 2001.
[3] P. Viola and M. J. Jones, "Robust Real-Time Face Detection,” Int. J. Comput. Vision, vol. 57, no. 2, pp. 137–154, May 2004.
[4] F. Porikli, "Integral histogram: a fast way to extract histograms in Cartesian spaces,” Proc. CVPR, vol. 1, pp. 829–836, 2005.
[5] A. Alonso-Gonz´alez, C. L´opez-Mart´ınez, P. Salembier, and X. Deng, "Bilateral Distance Based Filtering for Polarimetric SAR Data,” Remote Sens., vol. 5, no. 11, pp. 5620–5641, 2013.
[6] S. Savic, "Multifocus Image Fusion Based on Empirical Mode Decomposition,” Twentieth International Electrotechnical and Computer Science Conference, ERK 2011.