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Wavelet-Deep-Neural-Network-for-Stripe-Noise-Removal reviews and mentions
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Tried to bring out detail & color delta from the WD1657+343 dataset (R:2.00µm, G:3.56µm, B:2.77µm)
These datasets are pre-calibrated and pre-composited, but you could get better results by de-banding individual frames before stacking. I've had excellent results in other cameras smoothing the gains of whole rows by a 5-wide gaussian kernel, or the best results I've seen were from passing the images through a de-striping neural network called WDRNN
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jtguan/Wavelet-Deep-Neural-Network-for-Stripe-Noise-Removal is an open source project licensed under Apache License 2.0 which is an OSI approved license.
The primary programming language of Wavelet-Deep-Neural-Network-for-Stripe-Noise-Removal is Python.
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