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