My master’s dissertation subject is to analyze and implement an algorithm that would sample (store) thermal images from camera with different frequency rates to optimize database size and processing power.
The thermal images are provided to computer with constant flow with packets structure consisting of header and matrix of 14 bits values per each ,,pixel''.
From publications that I found, most commonly compression techniques are used, but here I should develop dynamic sampling algorithm without althering data structrure.
Is anyone aware of any publication related to this subject? It seems that I cannot find any information on sampling patterns for raw 2d data streams, nor algorithms that would detect or calculate if the image differs enough from previous ones and is worth capturing.