What is data compression?
Data compression is the process of encoding information using fewer bits than the original representation would use. Compression is useful since it helps reduce the consumption of expensive resources, such as hard disk space or transmission bandwidth.
What is a data compression ratio?
Data compression ratio, also known as compression power is a computer science term used to quantify the reducion in data - representation size produced by a data compression algorithm. The data compression ratio used to measure physical compression of substances and is defined in the same way as the ratio between the compressed size and the uncompressed size.
Why is data compression an important technique for the online world?Compression is useful since it helps reduce the consumption of expensive resources, such as hard disk space or transmission bandwidth. Another reason for it being an important technique to the online world because if compressed data is downloaded it would be faster because there are fewer bits.
What is the difference betwwen Lossy and Lossless data compression? Lossy compression is a data encoding method which compresses data by losing some. The method aims to minimise the amount of data that needs to be held and/or transmitted by a computer, substantial amount of fata can be discarded before the result is sufficiently degraded to be noticed by the user. Lossy compression is mainly used to compress multimedia data (audio, video, still images).
Why is human psychology and perception an important factor in methods of Lossy compression?Human pyschology and perception is an important factor in methods of lossy compression since only a certain amount of data can be discarded before it is noticed by the human eye.
Which method offers the greatest compression ratio?Lossy data compression offers the greatest compression ratio, it also is the most recommended and popular.
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