Resolution scale is also of central importance in the Earth sciences. Unobserved parts of the images, caused by cloud cover, are shown in black. We have found that integrating multiple resolution scale information is necessary for information fusion from oceanographic model and observed satellite data. This work has involved extensive neural network modelling, with the ultimate objective of forecasting oceanographic upwelling. Another forensic science application is the cleaning up of video data.
Video compression is a different application on video, and calls for real-time decompression.
Such compute-intensive requirements can be met with parallel hardware and dedicated chips. Many applications involve detecting and tracking independently moving objects against static or moving backgrounds. We are currently developing motion detection and tracking algorithms to process imagery from electro-optic sensors. Conventional computer vision based tracking algorithms have achieved only limited success to date, and require large computational budgets. Yet many biological vision systems routinely perform very similar tasks, often with quite limited sensors and neural processing budgets.