Lossless compression reduces bits by identifying and eliminating statistical redundancy.
| FactSnippet No. 1,567,974 |
27 Facts About Data compression
1.
2.
Lossy Data compression reduces bits by removing unnecessary or less important information.
| FactSnippet No. 1,567,975 |
3.
Typically, a device that performs data compression is referred to as an encoder, and one that performs the reversal of the process as a decoder.
| FactSnippet No. 1,567,976 |
4.
The design of data compression schemes involves trade-offs among various factors, including the degree of compression, the amount of distortion introduced, and the computational resources required to compress and decompress the data.
| FactSnippet No. 1,567,977 |
5.
Lossless compression is possible because most real-world data exhibits statistical redundancy.
| FactSnippet No. 1,567,978 |
6.
Lempel–Ziv Data compression methods are among the most popular algorithms for lossless storage.
| FactSnippet No. 1,567,979 |
7.
Lossy data compression schemes are designed by research on how people perceive the data in question.
| FactSnippet No. 1,567,980 |
8.
Lossy image Data compression is used in digital cameras, to increase storage capacities.
| FactSnippet No. 1,567,981 |
9.
Speech coding is used in internet telephony, for example, audio Data compression is used for CD ripping and is decoded by the audio players.
| FactSnippet No. 1,567,982 |
10.
An exhaustive examination of the feature spaces underlying all Data compression algorithms is precluded by space; instead, feature vectors chooses to examine three representative lossless Data compression methods, LZW, LZ77, and PPM.
| FactSnippet No. 1,567,983 |
11.
Data compression can be viewed as a special case of data differencing.
| FactSnippet No. 1,567,984 |
12.
Term differential compression is used to emphasize the data differencing connection.
| FactSnippet No. 1,567,985 |
13.
An important image Data compression technique is the discrete cosine transform, a technique developed in the early 1970s.
| FactSnippet No. 1,567,986 |
14.
DEFLATE, a lossless Data compression algorithm specified in 1996, is used in the Portable Network Graphics format.
| FactSnippet No. 1,567,987 |
15.
Audio Data compression algorithms are implemented in software as audio codecs.
| FactSnippet No. 1,567,988 |
17.
Lossless audio compression produces a representation of digital data that can be decoded to an exact digital duplicate of the original.
| FactSnippet No. 1,567,990 |
18.
Lossy compression typically achieves far greater compression than lossless compression, by discarding less-critical data based on psychoacoustic optimizations.
| FactSnippet No. 1,567,991 |
19.
In contrast to the speed of Data compression, which is proportional to the number of operations required by the algorithm, here latency refers to the number of samples that must be analyzed before a block of audio is processed.
| FactSnippet No. 1,567,992 |
20.
World's first commercial broadcast automation audio Data compression system was developed by Oscar Bonello, an engineering professor at the University of Buenos Aires.
| FactSnippet No. 1,567,993 |
21.
Two key video Data compression techniques used in video coding standards are the discrete cosine transform and motion compensation.
| FactSnippet No. 1,567,994 |
22.
Inter-frame compression uses data from one or more earlier or later frames in a sequence to describe the current frame.
| FactSnippet No. 1,567,995 |
23.
Usually, video compression additionally employs lossy compression techniques like quantization that reduce aspects of the source data that are irrelevant to the human visual perception by exploiting perceptual features of human vision.
| FactSnippet No. 1,567,996 |
24.
Wavelet Data compression is used in still-image coders and video coders without motion compensation.
| FactSnippet No. 1,567,997 |
25.
Interest in fractal Data compression seems to be waning, due to recent theoretical analysis showing a comparative lack of effectiveness of such methods.
| FactSnippet No. 1,567,998 |
26.
Genetics compression algorithms are the latest generation of lossless algorithms that compress data using both conventional compression algorithms and genetic algorithms adapted to the specific datatype.
| FactSnippet No. 1,567,999 |
27.
HAPZIPPER was tailored for HapMap data and achieves over 20-fold compression, providing 2- to 4-fold better compression and is less computationally intensive than the leading general-purpose compression utilities.
| FactSnippet No. 1,568,000 |