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RaymondLZhou / deepDeband

Official repository of the Deep Image Debanding conference paper. This research project was done with Dr. Shahrukh Athar, Zhongling Wang, and Prof. Zhou Wang, and the work is published in ICIP 2022.
MIT License
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About datasets #4

Open duanpanjun opened 1 year ago

duanpanjun commented 1 year ago

Hello, is your dataset undergoing bit depth modification on the YUV channels? I noticed that the images after bit depth modification have a slight difference in brightness compared to the original images. Is this normal?

RaymondLZhou commented 1 year ago

I'm not sure about your specific question, but the banded images were taken from the DBI work, and they have more information on how the banded images were generated here: https://github.com/akshay-kap/Meng-699-Image-Banding-detection#2-dataset

duanpanjun commented 1 year ago

I'm not sure about your specific question, but the banded images were taken from the DBI work, and they have more information on how the banded images were generated here: https://github.com/akshay-kap/Meng-699-Image-Banding-detection#2-dataset我不确定你的具体问题，但带状图像是从 DBI 工作中获取的，他们在这里有关于如何生成带状图像的更多信息：https://github.com/akshay-kap/Meng-699-Image-Banding-detection#2-dataset

Thank you for your reply! I want to know why I get a math domain error when I run version W. When I print it out, I find that the error occurs with a negative number. Why is this?