
Key Features:
-
CUDA-Accelerated ISP Functions
Includes GPU-optimized demosaicing (debayering), auto white balance (AWB), and image shifting algorithms. -
Zero Dependency on Hardware ISP
Ideal for platforms without built-in ISP (e.g., x86 + discrete GPU), or as a Jetson ISP fallback when more flexibility is needed. -
Real-Time Performance
Designed for high-resolution, real-time applications with low latency requirements. -
GStreamer Integration
Easily integrates into multimedia pipelines using RidgeRun’scudadebayer
,cudaawb
, andcudashift
plugins. -
Modular and Extensible
Built as a C++ library, making it easy to extend with custom image processing modules.
Use Cases:
-
Embedded AI applications requiring clean, corrected video input
-
Robotics systems needing real-time GPU ISP on the edge
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Streaming platforms offloading ISP from CPU to GPU
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Vision systems running on Jetson Xavier NX, Orin, or x86 with CUDA GPUs
Supported Platforms:
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Jetson Nano, Jetson Xavier NX, Jetson AGX Orin
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x86-64 Linux with NVIDIA GPU (e.g., for desktop inference or cloud edge)
What You Get:
-
Full access to RidgeRun’s CUDA ISP (libcudaisp).
-
GStreamer plugin support (optional):
cudadebayer
,cudaawb
,cudashift
-
Documentation, sample pipelines, and quick-start guides
-
Optional Embedded Software Support package for integration, tuning, and extensions
Why Choose RidgeRun?
With over 19 years of experience in Embedded Software Consulting, RidgeRun delivers production-quality software for demanding real-time systems. libcudaisp is backed by our world-class engineering team, ensuring your image pipeline meets both performance and quality benchmarks.
Need a complete imaging pipeline, from camera drivers to AI inference? RidgeRun’s subscription-based development model is here to help.

Monthly Subscription
Hire RidgeRun at a flat monthly rate for a maximum of 8 hours per day, 40 hours per week each month. Get fast interaction with engineers working on your project, weekly 45 minute calls to update you on our progress, and the complete engagement and expertise of our engineering team.
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