An Auto-range Fast Bilateral Filter Using Adaptive Standard Deviation for HDR Image Rendering 


Vol. 35,  No. 4, pp. 350-357, Apr.  2010


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  Abstract

In this paper, we present an auto-range fast bilateral filter (FBF) for high-dynamic-range (HDR) images, which increases computation speed by using adaptive standard deviations for range filter (RF) of FBF in iCAM06. Many images that cover the entire dynamic range of the scene with different exposure times are fused into one High Dynamic Range (HDR) image. The representative algorithm for HDR image rendering is iCAM06, which is based on the iCAM framework, such as the local white point adaptation, chromatic adaptation, and the image processing transform (IPT) uniform color space. FBF in iCAM06 uses constant standard deviation in RF. So, it causes unnecessary FBF computation in high stimulus range with broad and low distribution. To solve this problem, the low stimulus image and high stimulus image of CIE tri-stimulus values (XYZ) divided by the threshold are respectively processed by adaptive standard deviation based on its histogram distribution. Experiment results show that the proposed method reduces computation time than the previous FBF.

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  Cite this article

[IEEE Style]

T. Bae, S. Lee, B. Kim, K. Sohng, "An Auto-range Fast Bilateral Filter Using Adaptive Standard Deviation for HDR Image Rendering," The Journal of Korean Institute of Communications and Information Sciences, vol. 35, no. 4, pp. 350-357, 2010. DOI: .

[ACM Style]

Tae-Wuk Bae, Sung-Hak Lee, Byoung-Ik Kim, and Kyu-Ik Sohng. 2010. An Auto-range Fast Bilateral Filter Using Adaptive Standard Deviation for HDR Image Rendering. The Journal of Korean Institute of Communications and Information Sciences, 35, 4, (2010), 350-357. DOI: .

[KICS Style]

Tae-Wuk Bae, Sung-Hak Lee, Byoung-Ik Kim, Kyu-Ik Sohng, "An Auto-range Fast Bilateral Filter Using Adaptive Standard Deviation for HDR Image Rendering," The Journal of Korean Institute of Communications and Information Sciences, vol. 35, no. 4, pp. 350-357, 4. 2010.

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pISSN : 1226 - 4717
eISSN : 2287 - 3880