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:
“The family circle has widened. The worldpool of information fathered by the electric media—movies, Telstar, flight—far surpasses any possible influence mom and dad can now bring to bear. Character no longer is shaped by only two earnest, fumbling experts. Now all the world’s a sage.”
—Marshall McLuhan (1911–1980)
“And what greater calamity can fall upon a nation than the loss of worship? Then all things go to decay. Genius leaves the temple to haunt the senate or the market.”
—Ralph Waldo Emerson (1803–1882)