The elimination of unnecessary data or reformatting the data gives great efficient results. The storage market has kept looking to offer solutions that involve data compression or storing data in such a format that requires less memory space than usual.
Data compression is the process of reducing file sizes while maintaining the same or a close approximation of data. What are the two common types of compression algorithms? There are two types and when you compress data, it can either be lossy or lossless.
We have discussed the 10 most popular types of compression algorithms below that you can use to compress your data easily.
There are various algorithms that you can use if you want to compress your file but on the other hand, you want your file to restore to its original format after recovering. These lossless data compression algorithms are actually used for archiving files.
Which algorithm is best for data compression? Lempel-Ziv algorithms are considered to be the best data compression algorithms. LZ77 was announced in 1977. The lz77 compression algorithm uses a sliding window method. It manages a dictionary that uses triplets to representing
It has a declaration that the phrase used in it is similar to the original phrase and also tells if there is any different or additional character.
As you parse a file, the dictionary is updated for the reflection of the compressed data contents and their sizes.
It is a modified LZ77, released in 1981. It is a linear alternative to the LZ77 lossless compression algorithm. It needs a significant amount of data storage if you are not using it linearly.
It is the first data compression algorithm widely used on Computers as well as in Gif image formats.
It was introduced in 1982. It is the improvement of the LZ77 data compression algorithm.
It was released in 1993. It combines LZ77 and LZSS preprocessor with Huffman coding. It is an entropy coding method that assigns codes based on the frequency of the characters. It has no patent available now.
It was designed and released in 1998. It is a modification od LZ77. it was modified for 7zip archiver with a .7z format
It was designed and released in 2009. It is the modification of LZMA. it is the improved handling of incompressible data. LZMA2 has both uncompressed data and LZMA data with multiple LZMA encoding parameters.
There are several data compression algorithms that you can use for detailed analysis. These are:
It is a technology that uses multiple neuron layers i.e. input, processing, and giving output data. It is implemented for the reduction of dimension tasks and the compression of data. It was released in 1988 and then entered the existing process.
It performs the encoding of quality maps into the binary stream with the use of scalar quantization traditional file compression algorithm called Huffman encoding. It is able to provide superior performance in comparison to the H.264/AVC video coding standard.
CNN’s give better compression results than MLP-based algorithms. It has improved super-resolution performance and artifact reduction. CNN’s are layered neural networks that are used for image recognition and feature detection
GANs are a form of neural network. GAN uses two networks to produce more accurate analyses and predictions. It was first developed in 2017.
Different algorithms provide different results. There are several algorithms available and you have to choose what suits you best and is right for you. Data compression algorithms are important as they give us many advantages and help us optimize file sizes.
Hope this article provides you with the information you need and guides you in the best way possible.