simple-camera-pipeline
A simple and light-weight camera image signal processor (ISP) pipeline implemented in MATLAB and Python.
Stages currently included in the pipeline:
- Normalization
- Lens shading correction (Python only)
- White balance
- Demosaicing
- Color space transformation (CIE XYZ)
- Color space transformation (sRGB)
- Gamma correction
- Global tone mapping
Start by running:
Matlab: matlab/demo.m
Python:
Python requirements (python/requirements.txt) -- other versions may work
numpy==1.17.2
scipy==1.3.1
opencv-python==4.1.1.26
rawpy==0.14.0
exifread==2.1.2
colour-demosaicing==0.1.5
This is the code used to render the sRGB images from the Raw-RGB images of the Smartphone Image Denoising Dataset (SIDD).
This code is helpful for participants of the real image denoising challenges on CodaLab:
NTIRE 2020 Real Image Denoising Challenge - Track 1: rawRGB
NTIRE 2020 Real Image Denoising Challenge - Track 2: sRGB
NTIRE 2019 Real Image Denoising Challenge - Track 1: Raw-RGB
NTIRE 2019 Real Image Denoising Challenge - Track 2: sRGB
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 https://doi.org/10.1109%2Fcvpr.2018.00182
Enjoy!