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Visual acuity-adaptive detail enhancement and shadow noise reduction for iCAM06-based HDR imaging

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Abstract

An image appearance model is extremely useful for high-dynamic-range image (HDRI) rendering. However, the base–detail separation and the tone compression process for tonal control cause degradations in image quality. This study focuses on the de-saturation, reduced contrast, and noise problems in dark regions that occur through HDRI-rendering. First, we discuss de-saturation compensation using a bilateral filter that is based on the visual acuity characteristics of various illuminant levels. The edge stop function of the bilateral filter in iCAM06 is adaptively modified according to the illuminant information. Second, to reduce the magnified noise in the dark regions caused by tone mapping, the shadow regions are detected by an object’s intensity and illuminant level, and then the noise of the detected regions is reduced using a luminance-adaptive coring function. Finally, we confirmed the enhanced color saturation, image contrast, and reduced noise in shadow regions through the application of the proposed methods.

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Acknowledgments

This research was supported by Basic Science Research Program through the National Research Foundation of Korea(NRF) funded by the Ministry of Education(2012-R1A1A2008362).

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Authors and Affiliations

  1. School of Electronics Engineering, Kyungpook National University, 80 Deahakro, Buk-Gu, Daegu, 702-701, Korea

    Geun-Young Lee, Sung-Hak Lee, Hyuk-Ju Kwon & Kyu-Ik Sohng

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  1. Geun-Young Lee
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  2. Sung-Hak Lee
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  3. Hyuk-Ju Kwon
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  4. Kyu-Ik Sohng
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Correspondence to Sung-Hak Lee.

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Lee, GY., Lee, SH., Kwon, HJ. et al. Visual acuity-adaptive detail enhancement and shadow noise reduction for iCAM06-based HDR imaging. Opt Rev 22, 232–245 (2015). https://doi.org/10.1007/s10043-015-0065-x

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