This paper is the continuation of a previous work, which aimed to develop a color rendering model using ICtCp color space, to evaluate SDR and HDR-encoded content. However, the model was only tested on an SDR image dataset. The focus of this paper is to provide an analysis of a new HDR dataset of laboratory scenes images using our model and additional color rendering visualization tools. The new HDR dataset, captured with different devices and formats in controlled laboratory setups, allows the estimation of HDR performances, encompassing several key aspects including color accuracy, contrast, and displayed brightness level, in a variety of lighting scenarios. The study provides valuable insights into the color reproduction capabilities of modern imaging devices, highlighting the advantages of HDR imaging compared to SDR and the impact of different HDR formats on visual quality.
Elodie Souksava, François-Xavier Thomas, Hoang-Phi Nguyen, Laurent Chanas, Frédéric Guichard, "Analysis of a New HDR Dataset of Laboratory Scenes Images using the ICtCp Color Space" in Electronic Imaging, 2025, pp 244-1 - 244-7, https://doi.org/10.2352/EI.2025.37.9.IQSP-244