Data compression of types

How does data compression work?

At a high level, data compression works by encoding the original, target data in fewer bits, reducing the size of the data

When needed, the data can be uncompressed, or decoded and retrieved

The process involves two algorithms—one for compression and one for reconstruction

The original data is reduced into an encoded representation of itself

What are the different types of data compression?

Generally speaking, there are four different types of data compression: Text compression— primarily uses codes or symbols for patterns and redundancies; reduces overall size, but information remains unaltered

Audio compression— eliminates noise to shrink file sizes, but reduces overall quality

Two main types of compression are called lossy and lossless since one is smaller but compromises image or sound quality, while the other tends to be larger but keeps the file quality intact. Lossy compression produces smaller files by analyzing the original data and removing unnecessary bits.We use compression algorithms to reduce the amount of space needed to represent a file. There are two types of compression: lossless and lossy. Lossless compression algorithms reduce the size of files without losing any information in the file, which means that we can reconstruct the original data from the compressed file.Text compression— primarily uses codes or symbols for patterns and redundancies; reduces overall size, but information remains unaltered. Audio compression— eliminates noise to shrink file sizes, but reduces overall quality. Image compression— similar to text compression; replaces repeated color patterns using codes to reduce size.

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