20 March 2014 Tone reproduction for high-dynamic range imaging based on adaptive filtering
Changwoo Ha, Joohyun Lee, Jechang Jeong
Author Affiliations +
Funded by: National Research Foundation of Korea (NRF)
Abstract
A tone reproduction algorithm with enhanced contrast of high-dynamic range images on conventional low-dynamic range display devices is presented. The proposed algorithm consists mainly of block-based parameter estimation, a characteristic-based luminance adjustment, and an adaptive Gaussian filter using minimum description length. Instead of relying only on the reduction of the dynamic range, a characteristic-based luminance adjustment process modifies the luminance values. The Gaussian-filtered luminance value is obtained from appropriate value of variance, and the contrast is then enhanced through the use of a relation between the adjusted luminance and Gaussian-filtered luminance values. In the final tone-reproduction process, the proposed algorithm combines color and luminance components in order to preserve the color consistency. The experimental results demonstrate that the proposed algorithm achieves a good subjective quality while enhancing the contrast of the image details.
© 2014 Society of Photo-Optical Instrumentation Engineers (SPIE) 0091-3286 /2014/$25.00 © 2014 SPIE
Changwoo Ha, Joohyun Lee, and Jechang Jeong "Tone reproduction for high-dynamic range imaging based on adaptive filtering," Optical Engineering 53(3), 033103 (20 March 2014). https://doi.org/10.1117/1.OE.53.3.033103
Published: 20 March 2014
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CITATIONS
Cited by 2 scholarly publications.
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KEYWORDS
High dynamic range imaging

Gaussian filters

Image filtering

Digital filtering

Range imaging

Image processing

Optical filters

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