Fast approximation of trilateral filter for tone mapping using a signal processing approach

  • Authors:
  • Jianbing Shen;Shiaofen Fang;Hanli Zhao;Xiaogang Jin;Hanqiu Sun

  • Affiliations:
  • Department of Computer and Information Science, Indiana University-Purdue University, Indianapolis, IN 46202, USA and School of Computer Science and Technology, Beijing Institute of Technology, Be ...;Department of Computer and Information Science, Indiana University-Purdue University, Indianapolis, IN 46202, USA;State Key Lab of CAD&CG, Zhejiang University, Hangzhou 310027, China;State Key Lab of CAD&CG, Zhejiang University, Hangzhou 310027, China;Department of Computer Science and Engineering, The Chinese University of Hong Kong, Shatin, N.T., Hong Kong

  • Venue:
  • Signal Processing
  • Year:
  • 2009

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Abstract

In this paper, we present a novel fast approximation of the trilateral filter for high dynamic range (HDR) image tone mapping using a signal processing approach. Our fast trilateral filter-based tone-mapping algorithms are about 15-25 times faster than the existing one in Choudhury and Tumblin [The trilateral filter for high contrast images and meshes, in: Eurographics Symposium on Rendering '03, 2003, pp. 186-196]. The novel tone-mapping algorithm for HDR images is presented based on the fast approximation of the gradient bilateral filter and the down-sampling strategy of computing the titling angle image. We show the comparison results with the fast approximation of the trilateral filter using full-kernel, truncated-kernel, piecewise-kernel, separable-kernel, respectively. The proposed approach is suitable for fast HDR image tone-mapping, and the experimental results show satisfactory performancce.