Learning photographic global tonal adjustment with a database of input / output image pairs
作者： Vladimir Bychkovsky , Sylvain Paris , Eric Chan , Fredo Durand
DOI: 10.1109/CVPR.2011.5995332
关键词:
摘要: Adjusting photographs to obtain compelling renditions requires skill and time. Even contrast and brightness adjustments are challenging because they require taking into account the image content. Photographers are also known for having different retouching preferences. As the result of this complexity, rule-based, one-size-fits-all automatic techniques often fail. This problem can greatly benefit from supervised machine learning but the lack of training data has impeded work in this area. Our first contribution is the creation of a high-quality …
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ieeecomputersociety.org参考文章(16)
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