Resumen: As the dynamic range of displays keeps increasing, there is a need for reverse tone mapping methods, which aim at expanding the dynamic range of legacy low dynamic range images for viewing on higher dynamic range displays. While a number of strategies have been proposed, most of them are designed for well-exposed input images and are not optimal when dealing with ill-exposed (under- or over-exposed) content. Further, this type of content is more prone to artifacts which may arise when using local methods. In this work, we build on an existing, automatic, global reverse tone mapping operator based on a gamma expansion. We improve this method by providing a new way for automatic parameter calculation from the image statistics. We show that this method yields better results across the whole range of exposures. Idioma: Inglés DOI: 10.1007/s11042-015-3036-0 Año: 2017 Publicado en: MULTIMEDIA TOOLS AND APPLICATIONS 76, 1 (2017), 631-648 ISSN: 1380-7501 Factor impacto JCR: 1.541 (2017) Categ. JCR: COMPUTER SCIENCE, SOFTWARE ENGINEERING rank: 42 / 104 = 0.404 (2017) - Q2 - T2 Categ. JCR: COMPUTER SCIENCE, THEORY & METHODS rank: 43 / 103 = 0.417 (2017) - Q2 - T2 Categ. JCR: ENGINEERING, ELECTRICAL & ELECTRONIC rank: 151 / 260 = 0.581 (2017) - Q3 - T2 Categ. JCR: COMPUTER SCIENCE, INFORMATION SYSTEMS rank: 84 / 148 = 0.568 (2017) - Q3 - T2 Factor impacto SCIMAGO: 0.287 - Computer Networks and Communications (Q2) - Hardware and Architecture (Q2) - Media Technology (Q2) - Software (Q3)