What is data compression?
In computer science and information theory, data compression is the process of encoding information using fewer bits than an unencoded representation would use through use of specific encoding schemes.
What is a data compression ratio?
A data compression ratio is also known as a compression power. This is a computer -science term used to quantify the reduction in data representation size produced by a data compression algorithm. The data compressio ratio is analogous to the physical compression ratio used to measure physical compression of substances. This is defined as the ratio between the uncompressed size and the compressed size.
Why is data compression an important technique for the online world?
The data compression is an important technique for the online world because it is helpful for their data compressed and uncompressed.
What is the difference between Lossy and Lossless data compression?
Lossless compression shemes are reversible so that the original data can be reconstructed, while lossy shemes accept some loss od data in order to acheive higher compression.
Which method offers the greatest compression ratio?
The compressio ratio of lossy video is nearly always far superior to that of the audio and still-image equivalents. Video can be compressed immensely with little visible quality loss.
Why is human psychology and perception an important factor in methods of Lossy compression?
In some cases the ideal is a file which provides exactly the same perception as the original, with as much digital information as possible removed.
Name Lossy file formats for audio, still image and video format.
Lossy compression is transprent which can be verified via an ABX test.
Image:
JBIG2
PGF, Progressive Graphics File(lossless or lossy compression)
Wavelet compression
S3TC Texture compression for 3D computer graphics hardware.
Video:
H.261
H.263
H.264
MNG (supports JPEG sprites
Audio:
AAC
ADPCM
ATRAC
Dolby AC-3
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