The client was developing a 4K microscope camera solution with embedded image processing capabilities. Their goal was to enhance video quality by correcting chromatic aberrations, spatial distortion caused by the lens system, and reducing glare in real time. These corrections needed to be seamlessly integrated into their existing GStreamer pipeline.
To meet this need, we designed and implemented a GPU-accelerated image correction module optimized for execution on the NVIDIA® Jetson™ Nano platform.
INDUSTRY
Hardware manufacturer
TECHNOLOGIES
OUTCOME
Seamless 4K video enhancement on NVIDIA Jetson Nano
INDUSTRY
Hardware manufacturer
TECHNOLOGIES
OUTCOME
Seamless 4K video enhancement on NVIDIA Jetson Nano
Proposed solutions
How we built precision into every frame
Real-time image correction with GPU acceleration
We collaborated closely with the client to prototype and validate the image correction algorithms using a flexible Python-based workflow. Once validated, these algorithms were integrated into a custom GStreamer plugin, structured into three modular processing elements. This plugin was designed to run efficiently on the NVIDIA® Jetson™ Nano GPU, enabling seamless, real-time enhancement of the video stream within the client’s existing pipeline.
If you want to dive deeper into preparing embedded environments for GStreamer-based solutions, check out our article How to cross-compile GStreamer for embedded systems, where we share best practices directly applicable to projects like this.
Proposed solutions
How we built precision into every frame
Real-time image correction with GPU acceleration
We collaborated closely with the client to prototype and validate the image correction algorithms using a flexible Python-based workflow. Once validated, these algorithms were integrated into a custom GStreamer plugin, structured into three modular processing elements. This plugin was designed to run efficiently on the NVIDIA® Jetson™ Nano GPU, enabling seamless, real-time enhancement of the video stream within the client’s existing pipeline.
If you want to dive deeper into preparing embedded environments for GStreamer-based solutions, check out our article How to cross-compile GStreamer for embedded systems, where we share best practices directly applicable to projects like this.