entropyencoding
Entropy encoding is a lossless data compression technique used to reduce the size of data without losing any information. It is based on the principle of entropy, which is a measure of the unpredictability or randomness of a set of data. Entropy encoding works by assigning shorter codes to more frequent symbols and longer codes to less frequent symbols, thereby reducing the overall size of the data.
There are several entropy encoding algorithms, including Huffman coding, arithmetic coding, and Lempel-Ziv-Welch (LZW) coding. Huffman
Arithmetic coding is another popular entropy encoding algorithm. It works by representing the entire message as
LZW coding is a dictionary-based entropy encoding algorithm. It works by replacing strings of symbols with
Entropy encoding is widely used in various applications, including data compression, image and video compression, and