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ParamISP: Learned Forward and Inverse ISPs using Camera Parameters
April 16, 2024, 4:49 a.m. | Woohyeok Kim, Geonu Kim, Junyong Lee, Seungyong Lee, Seung-Hwan Baek, Sunghyun Cho
cs.CV updates on arXiv.org arxiv.org
Abstract: RAW images are rarely shared mainly due to its excessive data size compared to their sRGB counterparts obtained by camera ISPs. Learning the forward and inverse processes of camera ISPs has been recently demonstrated, enabling physically-meaningful RAW-level image processing on input sRGB images. However, existing learning-based ISP methods fail to handle the large variations in the ISP processes with respect to camera parameters such as ISO and exposure time, and have limitations when used for …
abstract arxiv cs.cv data eess.iv enabling however image image processing images parameters processes processing raw type
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