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Journal of Imaging, Volume 10, Issue 4
April 2024 - 23 articles
Cover Story: Digital cameras only capture a limited range of luminance levels because of sensor constraints. Cameras for high-dynamic-range (HDR) imaging are sometimes unaffordable. Most existing image content has a low dynamic range (LDR) comprising 8-bit imaging. Metals are typical object materials that saturate easily, and the luminance of the reflected light covers an extensive dynamic range. In this paper, we consider a method for reconstructing the original HDR image from a single LDR image suffering from saturation. A deep neural network approach is adopted to map the 8-bit LDR image to an HDR image. We first construct an HDR image database of metallic objects and then propose an LDR-to-HDR mapping method to predict the information that has been lost in saturated areas. View this paper
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J. Imaging - ISSN 2313-433X