Advanced High Dynamic Range Imaging: Theory and Practice
By F. Banterle, A. Artusi, Kurt Debattista, Alan Chalmers. 2011
322 citations recorded by the source corpus.
View Paper: https://www.semanticscholar.org/paper/356de771da942ca5c904d0fdf3e42f3665dde1c5
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Citations in the corpus
- High Dynamic Range Imaging (2015, background): “The research literature is also immense and summarized in a number of textbooks [10, 57, 101, 108, 128].”
- State of the Art in Defect Detection Based on Machine Vision (2021, background): “In addition to the above methods, there are high-dynamic range imaging [83, 84] and multi-vision imaging [85] systems, etc.”
- Learning a Deep Single Image Contrast Enhancer from Multi-Exposure Images (2018, methodology): “The implementations of those algorithms are obtained from the original authors, except for Raman09 and Bruce14 whose implementations are from an HDR toolbox in Github [46].”
- Deep reverse tone mapping (2017, methodology): “To perform experiments using these existing methods, we used the HDR Toolbox [Banterle et al. 2011], which is a MATLAB-based library for processing HDR content.”
- HDR image reconstruction from a single exposure using deep CNNs (2017, methodology): “With the graphics community as an early adopter, HDR images are now routinely used in many applications including photo realistic image synthesis and a range of post-processing operations; for an overview see [Banterle et al. 2011; Dufaux et al. 2016; Reinhard et al. 2010].”