the goal of the project is to find an algorithm for underwater video compression, in order to enable a video transmission in a good video quality, under the constraints of a low channel capacity of the underwater acoustic channel, by using the redundancies of the underwater video, like slow motion, blured background, and strong correlation between the color channels.
the underwater medium has a very low channel capacity, and therefore it is necessary to find algorithms to compress the information, in order to transmit video films. the rate required to do so is 30kbps, a very low rate for video which causes a very strong distortion in the signal. The idea of this project is to use the properties of the underwater videos: high correlation between the color channels, blurred background and slow motion.
this project is based on a previous project, in which a method of adaptive frame skip was developed. Eventually an interpolation block reconstructs the skipped frames.