In an application I’ve been working on, I have to send a 256 x 256 matrix over a socket. I’m developing a visualization client for a offshore system simulator that runs on a cluster, and this matrix is a heightmap representing the current state of the oceanic surface.
This is an realtime application, so speed is a must. And, using an 256 x 256 matrix of floats, I have to send 256 kbytes of data every second, for a bandwith requirement of 256 kbytes/second.
That’s a lot, at least for my application.
So, my question is, is there some good method for compressing this matrix before sending it via socket? And, if there is such a method, how much os reduction can I expect?
As my matrix represent an continuous surface, lossy compression methods are not a problem for me. I’m mostly concerned with the compression ratio, the time that it takes for the compression to take place and, finally, if there is already an implementation of this method for C++.
If you are far enough offshore and/or in calm sea states, breaking waves are not likely to be a big problem. If this is the case, then the surface will be nicely continuous, and will likely look a lot like the superposition of multiple sine/cosine waves in X and Y.
2-D FFTs of the surface might give you some insight. You might be able to represent the surface as a bandwidth-limited 2-D FFT, and discard data for higher spatial frequencies.