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This does not sound right. The source image must have had more information (perhaps not compressed raw data) than in the example. The book cover details simply

This does not sound right. The source image must have had more information (perhaps not compressed raw data) than in the example. The book cover details simply are not there on the dark image (if you scale up the brightness then there is only blocky noise. So either this is not the right dark image or their network dreamed it up.

dr_zoidberg 8y ago
The dataset is composed of D -> F sets (not pairs, because there are many underexposed images) of Dark to Fully-illuminated images. Yes, the net is "dreaming" the details, based on what it learns from those mappings. I'd say this nets are very specialised on the sensor, and maybe even lens choice. Simply put, what they did is compressing a full pipeline of processing into a deep net that consumes RAW files and spits out natural looking images.