Data compression in general, and Huffman encoding as a method, can be used in multiple areas: secure communication, image compression, music streaming, data storage optimization, and other areas. Do the following: Identify the context of an application of a Huffman encoding-decoding algorithm.
Data compression in general, and Huffman encoding as a method, can be used in multiple areas: secure communication, image compression, music streaming, data storage optimization, and other areas. Do the following:
Identify the context of an application of a Huffman encoding-decoding
The principle behind Huffman coding is to give input characters variable-length codes, the lengths of which are based on the frequencies of the associated characters, in order to minimise the quantity of the data by encoding, reorganising, or otherwise altering it.
Based on the frequency of occurrence of an image's data, Huffman coding uses a smaller amount of bits to encode the data into binary codes that happen more frequently, like in JPEG. This coding is utilised in text and fax transmission using compression formats like GZIP, BZIP2, etc. Using the Huffman coding algorithm, variable-length prefix codes in bit sequence are allocated to input characters.
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