Set partitioning in hierarchical trees

Set partitioning in hierarchical trees (SPIHT)[1] is an image compression algorithm that exploits the inherent similarities across the subbands in a wavelet decomposition of an image. The algorithm was developed by Brazilian engineer Amir Said with William A. Pearlman in 1996.[1]

General description

The algorithm codes the most important wavelet transform coefficients first, and transmits the bits so that an increasingly refined copy of the original image can be obtained progressively.

gollark: It's *slightly* horrible abuse of that but oh well
gollark: To just open all modems do `peripheral.find("modem", rednet.open)`.
gollark: But instead I'll add it to the list of things to maybe do this century.
gollark: I should implement your chainable print in potatOS immediately.
gollark: Oh dear. I may have to fix various event handling things.

See also

References
  1. Said, A.; Pearlman, W. A. (1996). "A new, fast, and efficient image codec based on set partitioning in hierarchical trees" (PDF). IEEE Transactions on Circuits and Systems for Video Technology. 6 (3): 243–250. doi:10.1109/76.499834. ISSN 1051-8215. Retrieved 18 October 2019.
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