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发表于 2020-10-22 18:09:36 | 显示全部楼层 |阅读模式
本帖最后由 剑客 于 2020-10-22 18:24 编辑

https://github.com/AbdoKame





camera-pipeline


A simple and light-weight camera image processing pipeline implemented in MATLAB and Python.
Start by running:
Matlab: [color=var(--color-text-link-primary)]matlab/demo.m
Python: [color=var(--color-text-link-primary)]python/demo.py
Python requirements ([color=var(--color-text-link-primary)]python/requirements.txt) -- other versions may work
numpy==1.17.2scipy==1.3.1opencv-python==4.1.1.26rawpy==0.14.0exifread==2.1.2colour-demosaicing==0.1.5
This is the code used to render the sRGB images from the Raw-RGB images of the [color=var(--color-text-link-primary)]Smartphone Image Denoising Dataset (SIDD).
This code is helpful for participants of the real image denoising challenges on CodaLab:
[color=var(--color-text-link-primary)]NTIRE 2020 Real Image Denoising Challenge - Track 2: sRGB
[color=var(--color-text-link-primary)]NTIRE 2019 Real Image Denoising Challenge - Track 2: sRGB
[color=var(--color-text-link-primary)]Paper
Abdelhamed, A., Lin, S., & Brown, M. S. (2018). A High-Quality Denoising Dataset for Smartphone Cameras. In 2018 {IEEE}/{CVF} Conference on Computer Vision and Pattern Recognition. {IEEE}. Retrieved from [color=var(--color-text-link-primary)]https://doi.org/10.1109%2Fcvpr.2018.00182
Enjoy!

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