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Volume: 28 | Article ID: art00015
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A Tone Mapping Model Based on Receptive Field for HDR Images
  DOI :  10.2352/issn.2169-2629.2020.28.14  Published OnlineNovember 2020
Abstract

High dynamic range (HDR) imaging has greater contrast reproduction capability than standard imaging techniques. It can achieve natural and pleasing appearance in terms of image quality. A tone mapping model (TMOz) is developed based on the center-surround properties of the mammalian ganglion cells of the human visual system for feature enhancement. The contrast of the HDR image is mapped adaptively to an SDR display range using a global method followed by contrast enhancement in local regions. A psychophysical experiment was conducted to refine the model for adaptivity of the contrast mapping function. Finally, the performance of the TMOz was evaluated using CIELAB (2:1) formula together with high quality reference images. The results showed that TMOz outperformed the other tone mapping operators (TMOs).

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Imran Mehmood, Muhammad Usman Khan, Muhammad Farhan Mughal, Ming Ronnier Luo, "A Tone Mapping Model Based on Receptive Field for HDR Imagesin Proc. IS&T 28th Color and Imaging Conf.,  2020,  pp 100 - 104,  https://doi.org/10.2352/issn.2169-2629.2020.28.14

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Copyright © Society for Imaging Science and Technology 2020
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Color and Imaging Conference
color imaging conf
2166-9635
Society for Imaging Science and Technology