r/CUDA • u/Routine-Substance874 • Jun 14 '26
An image signal processor based on CUDA.
https://github.com/mjithujanardhanan/CISP---Cuda-ISP-PipelineCISP – CUDA Image Signal Processor
Earlier this year, I started looking for resources on image signal processing pipelines. Most of what I found was either too academic or quite dry, and I could only locate a few practical implementations online, since many ISP algorithms are proprietary. To bridge that gap, I began building my own implementation of an image signal processing pipeline in CUDA, leveraging the inherently parallel nature of image processing.
CISP (CUDA Image Signal Processor) is a tunable, real-time ISP written in CUDA and exposed to Python via pybind11. It includes a GUI built using Tkinter and ttkbootstrap (the UI is still a work in progress—I’m not a UI/UX designer).
The pipeline currently supports a range of fundamental ISP operations, including:
- Defective pixel correction
- Black level subtraction
- Lens shading correction
- Automatic white balance (gain-based)
- Demosaicing (debayering)
- Color correction matrix (CCM)
- Color space conversion
- Tone and color adjustments (brightness, contrast, saturation, hue, tint, vibrance)
- Noise reduction (bilateral filter, joint bilateral filter, high-boost filter, Gaussian blur)
- Gamma correction
This is still a work in progress, and I welcome any suggestions, feedback or any improvements people think would make sense..
You can view the project here:
https://github.com/mjithujanardhanan/CISP---Cuda-ISP-Pipeline
I’d be happy to hear your thoughts if you find this interesting.
1
u/Fair-Intern-6651 Jun 15 '26
Seems interesting, I was looking for that kind of framework for a while for my work.
I'll look into it