Data representation compression
File compression algorithms
The task of compression consists of two components, an encoding algorithm that takes a message and generates a “compressed” representation (hopefully with fewer bits), and a decoding algorithm that reconstructs the original message or some approx- imation of it from the compressed representation..
Text compression techniques
Image compression is a process that makes image files smaller.
Image compression most often works either by removing bytes of information from the image, or by using an image compression algorithm to rewrite the image file in a way that takes up less storage space..
What is data compression explain?
Data compression is the process of encoding, restructuring or otherwise modifying data in order to reduce its size.
Fundamentally, it involves re-encoding information using fewer bits than the original representation..
- Data compression is the function of presentation layer in OSI reference model.
Compression is often used to maximize the use of bandwidth across a network or to optimize disk space when saving data.
How compression works. Compression is performed by a program that uses a formula or algorithm to determine how to shrink the size of the data. For instance, an algorithm may represent a string of bits -- or 0s and 1s -- with a smaller string of 0s and 1s by using a dictionary for the conversion between them.
Definition Data compression ratio is defined as the ratio between the uncompressed size and compressed size: Thus, a representation that compresses a file's storage size from 10 MB to 2 MB has a compression ratio of 10/2 = 5, often notated as an explicit ratio, 5:1 (read "five" to "one"), or as an implicit ratio, 5/1.