Information Loss
Lossy compression formats suffer from generation loss: repeatedly compressing and decompressing the file will cause it to progressively lose quality. This is in contrast with lossless data compression, where data will not be lost via the use of such a procedure.
Information-theoretical foundations for lossy data compression are provided by rate-distortion theory. Much like the use of probability in optimal coding theory, rate-distortion theory heavily draws on Bayesian estimation and decision theory in order to model perceptual distortion and even aesthetic judgment.
Read more about this topic: Lossy Compression
Famous quotes containing the words information and/or loss:
“Information networks straddle the world. Nothing remains concealed. But the sheer volume of information dissolves the information. We are unable to take it all in.”
—Günther Grass (b. 1927)
“Begin with loss and see
how the world contradicts you,
how the horizon implies that beyond it
the water is not empty
but full of ships
all docking at another island.”
—Lynn Emanuel (b. 1949)