This is the method used to compress files, reducing their size and making them more portable. It’s also used in order to restore data back to its previous form during a decompression process. Once decompressed, the data can be used as normal. There are two main types of compression algorithms, each with their own advantages and disadvantages.
Technipages Explains Compression Algorithm
The first type of compression algorithm objectively seems like the better choice – lossless compression. In this type of compression process, the file size is reduced by a certain amount, and, upon decompression, the data is restored to exactly the same state it was in before it was compressed. No data whatsoever is lost. This process is ideal for program and data files where any sort of loss is unacceptable and potentially disastrous.
The other kind – lossy compression – has its advantages too. Unlike lossless compression, small amounts of data disappear during compression and cannot be recovered during decompression. Because of this, the reduction in file size is much greater, and the compression is thus more ‘effective’ so to speak. The data lost is not obvious to the user, and the amount lost is so small that it doesn’t affect the continued use of the file. This type of compression is great for files that are large by default, but where small losses don’t much matter – in other words, animations, graphics, video and audio files. Extended and repeated compression and decompression through lossy compression algorithms can eventually noticeably affect quality.
Common Uses of Compression Algorithm
- Compression algorithms allow for a reduction in file size, making it easier to transfer and transmit files.
- Lossy compression algorithms don’t preserve all data but can achieve smaller end files.
- Lossless compression algorithms are perfect for system files where data loss is unacceptable.
Common Misuses of Compression Algorithm
- Compression algorithms are a type of mathematical calculation.
