RFEL unveils video image stabilisation IP core

February 14, 2013 // By Paul Buckley
RFEL has released a Video Image Stabilisation IP Core, which is the first of a family of Video Processing IP cores that fully utilizes the power of the Xilinx Zynq-7000 All Programmable SoCs.

Stabilisation is performed in real-time and entirely digitally, with the algorithm compensating for unwanted roll and horizontal and vertical shifts of a scene, thereby improving the display to the end-user and reducing work-load. The IP core can be configured to be highly resource efficient and low power if required.
 
"Image stabilisation is an important capability for many electro-optic sensors," explained Dr Alex Kuhrt, CEO of RFEL Ltd. "Our IP-Core can therefore enhance many practical viewing systems, spanning a very broad range of applications including those found in defence and security sectors. The Image Stabilisation IP-Core provides a means for reducing both image blur and unwanted frame-to-frame image shifts and rotations, thereby aiding image interpretation and reducing the operator's workload."

While current electronic image stabilisation approaches use prominent image features to generate frame-to-frame flow vectors, and relatively simple processing in order to achieve sufficient throughput performance, RFEL's approach is to process image frames on a tiled basis in the spatial frequency domain. This allows the IP Core to process all of the scene information and gives a far more robust and accurate stabilisation solution.

RFEL's new Stabilisation IP Core is a high-performance video processing system that can readily support high input resolutions and frame rates, while maintaining low latency and power consumption.

"We designed the IP-Core to be compatible with cameras that operate over different spectral bands and to be rapidly integrated into third-party hardware," explained Alex Kuhrt.

The Stabilisation Core is designed to deliver a stable image under the most demanding of applications, including: driving aids for military vehicles, diverse airborne platforms, targeting systems and remote border security cameras. The algorithm implemented within the IP core stabilises images subjected to two-dimensional translations and rotations, from both static and moving platforms.

The stabilisation function provides real-time correction at frame-rates of up to 150 Hz for various imaging devices, or for resolutions of up to 1080p including both daylight and infrared