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What is the division of data compression technology

2025-01-17 Update From: SLTechnology News&Howtos shulou NAV: SLTechnology News&Howtos > Internet Technology >

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This article will explain in detail what the data compression technology is divided into, and the content of the article is of high quality, so the editor will share it for you as a reference. I hope you will have a certain understanding of the relevant knowledge after reading this article.

Data compression technology is divided into two categories, there are three kinds of methods: 1, instant compression and non-instant compression; 2, data compression and file compression; 3, lossless compression and lossy compression.

Data compression refers to reducing the amount of data to reduce the storage space, improve the efficiency of transmission, storage and processing, or reorganize the data according to certain algorithms without losing useful information. a technical method to reduce data redundancy and storage space.

In computer science and information theory, data compression or source coding is the process of representing information with fewer data bits (or other information-related units) than unencoded data according to a specific coding mechanism.

For example, if we code "compression" as "comp", this article can be represented in fewer data bits. A popular example of compression is the ZIP file format used by many computers, which not only provides compression, but also serves as an archiving tool (Archiver) to store many files in the same file.

Classification of data Compression Technology

There are many ways of data compression, and different characteristics of data have different ways of data compression (that is, coding).

Data compression techniques are divided into two categories, and there are three methods:

1. Instant compression and non-instant compression

For example, to make an IP call, the voice signal is converted into a digital signal, compressed at the same time, and then transmitted through Internet. The process of data compression is carried out immediately. Real-time compression is generally used in video and sound data transmission. Instant compression is commonly used in specialized hardware devices, such as compression cards.

Non-instant compression is often used by computer users, this compression is carried out only when necessary, there is no real-time. For example, compress a picture, an article, a piece of music, etc. Non-instant compression generally does not need special equipment, just install and use the corresponding compression software in the computer.

2. Data compression and file compression

In fact, data compression includes file compression, data originally refers to any digital information, including all kinds of files used in the computer, but sometimes data refers to some time-bound data, which are often collected, processed or transmitted in real time. File compression refers to the compression of data that will be stored in physical media such as disk, such as an article data, a section of music data, a section of program-encoded data, and so on.

3. Lossless compression and lossy compression

Lossless compression uses the statistical redundancy of data for compression. The theoretical limit of data statistical redundancy is from 2:1 to 5:1, so the compression ratio of lossless compression is generally low. This kind of method is widely used in the compression of text data, programs and image data in special applications.

The lossy compression method makes use of the characteristics that human vision and hearing are insensitive to some frequency components of image and sound, and allows the loss of certain information in the process of compression. Although the original data can not be completely restored, the lost part has little impact on the understanding of the original image, but in exchange for a larger compression ratio.

Lossy compression is widely used in voice, image and video data compression.

On the data compression technology is divided into what to share here, I hope the above content can be of some help to you, can learn more knowledge. If you think the article is good, you can share it for more people to see.

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