Compression encoder is an algorithm that compresses data into smaller and recoverable formats. Usually used for compression of audio and video data, it can reduce file size, save storage space and transmission bandwidth, and improve transmission speed and quality.
Compression encoders can be divided into two types: lossy and lossless. Lossless compression only uses more efficient encoding methods to compress data into smaller forms without losing any information. They allow compression of files without causing a loss of file quality. For example, compressed file formats such as zip and rar.
Lossy compression allows for the loss of some data during the compression process, which is usually not as important to ordinary people. The compression ratio of lossy compression is higher, but the quality of compressed files may be reduced. For example, file formats such as mp3, mp4, and jpeg are all lossy compressed file formats.
Essentially, the compression encoder is based on channel coding theory, utilizing statistical probability methods to find encoding schemes to reduce data size. These encoding schemes achieve space savings by mapping symbols with higher co-occurrence frequencies onto shorter codewords.
Overall, compression encoders are a very important technology that can help us more efficiently utilize bandwidth and storage space when storing and transmitting media data.
