test
server time: root: http://itiis.org
current_path: /journals/tiis/digital-library/21086
current_url: http://itiis.org/journals/tiis/digital-library/21086
A Tone Mapping Algorithm Based on Multi-scale Decomposition
  • KSII Transactions on Internet and Information Systems
    Monthly Online Journal (eISSN: 1976-7277)

A Tone Mapping Algorithm Based on Multi-scale Decomposition

Vol. 10, No. 4, April 29, 2016
10.3837/tiis.2016.04.021, Download Paper (Free):

Abstract

High dynamic range (HDR) images can present the perfect real scene and rich color information. A commonly encountered problem in practical applications is how to well visualize HDR images on standard display devices. In this paper, we propose a multi-scale decomposition method using guided filtering for HDR image tone mapping. In our algorithm, HDR images are directly decomposed into three layers´╝Übase layer, coarse scale detail layer and fine detail layer. We propose an effective function to compress the base layer and the coarse scale detail layer. An adaptive function is also proposed for detail adjustment. Experimental results show that the proposed algorithm effectively accomplishes dynamic range compression and maintains good global contrast as well as local contrast. It also presents more image details and keeps high color saturation.


Statistics

Show / Hide Statistics

Statistics (Cumulative Counts from December 1st, 2015)
Multiple requests among the same browser session are counted as one view.
If you mouse over a chart, the values of data points will be shown.


Cite this article

[IEEE Style]
W. Li, B. Yi, T. Huang, W. Yao and H. Peng, "A Tone Mapping Algorithm Based on Multi-scale Decomposition," KSII Transactions on Internet and Information Systems, vol. 10, no. 4, pp. 1846-1863, 2016. DOI: 10.3837/tiis.2016.04.021.

[ACM Style]
Weizhong Li, Benshun Yi, Taiqi Huang, Weiqing Yao, and Hong Peng. 2016. A Tone Mapping Algorithm Based on Multi-scale Decomposition. KSII Transactions on Internet and Information Systems, 10, 4, (2016), 1846-1863. DOI: 10.3837/tiis.2016.04.021.