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High dynamic range image tone mapping and retexturing using fast trilateral filtering

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Abstract

Using fast trilateral filtering we present a novel tone mapping and retexturing method for high dynamic range (HDR) images. Our new trilateral filtering-based tone mapping is about seven to ten times faster than that in [3]. Firstly, a novel tone mapping algorithm for HDR images is presented. It is based on fast bilateral filtering and two newly developed filters: the quasi-Cauchy function kernel filter and the fourth degree Taylor polynomial kernel filter. Secondly, a new gradient-based image retexturing method is introduced, which consists of three steps: 1) converting HDR images into low dynamic range (LDR) images using our fast trilateral filtering-based tone mapping method; 2) recovering the gradient luminance maps for the region to be retextured; 3) reconstructing the final retextured image by solving the Poisson equation. The proposed approach is suitable for HDR image tone mapping and retexturing, and experimental results have demonstrated the satisfactory performance of our method.

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Authors and Affiliations

  1. State Key Lab of CAD & CG, Zhejiang University, Hangzhou, 310027, P.R. China

    Jianbing Shen & Xiaogang Jin

  2. Department of Computer Science and Engineering, The Chinese University of Hong Kong, Shatin, N.T., Hong Kong, China

    Hanqiu Sun

Authors
  1. Jianbing Shen
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  2. Xiaogang Jin
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  3. Hanqiu Sun
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Correspondence to Xiaogang Jin.

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Shen, J., Jin, X. & Sun, H. High dynamic range image tone mapping and retexturing using fast trilateral filtering. Visual Comput 23, 641–650 (2007). https://doi.org/10.1007/s00371-007-0155-2

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