Image processing is not a direct application of coding theory, although coding theory can be used to develop image compression algorithms.

A code in coding theory consists of a set of codewords, error-correcting codes, and decoding algorithms.

Block codes are commonly used for error detection in data transmission.

Convolutional codes are commonly used for error correction in data transmission.

Convolutional codes are used in various applications, including mobile communications, satellite communications, and deep space communications.

Linear codes are used in various applications, including error correction in computer memory, error correction in data storage devices, and error correction in optical communications.

Cyclic codes are used in various applications, including error correction in data transmission, error correction in computer memory, and error correction in data storage devices.

Cryptography is used in various applications, including secure communication, data encryption, and authentication.

The RSA cryptosystem uses a linear code known as the Reed-Solomon code.

The AES cryptosystem uses a block code known as the Rijndael code.

Hash functions are not directly related to coding theory, although they can be used in conjunction with coding theory for various applications.

Coding theory is used in various applications in network coding, including error correction in data transmission, data compression, and network congestion control.

Coding theory is used in various applications in coding for distributed storage, including error correction in data storage, data replication, and data erasure coding.

Coding theory is used in various applications in quantum information theory, including quantum error correction, quantum cryptography, and quantum communication.

Coding theory is used in various applications in coding for machine learning, including error correction in machine learning algorithms, data compression for machine learning, and feature extraction for machine learning.