In information theory, the entropy of a random variable quantifies the average level of uncertainty or information associated with the variable's potential...

In information theory, an entropy coding (or entropy encoding) is any lossless data compression method that attempts to approach the lower bound declared...

In mathematics and theoretical computer science, entropy compression is an information theoretic method for proving that a random process terminates,...

coding achieves compression rates close to the best possible for a particular statistical model, which is given by the information entropy, whereas Huffman...

information entropy is developed for individual sequences (as opposed to probabilistic ensembles). This measure gives a bound on the data compression ratio...

decreases) compression. As the size of the block approaches infinity, Huffman coding theoretically approaches the entropy limit, i.e., optimal compression. However...

Arithmetic coding (AC) is a form of entropy encoding used in lossless data compression. Normally, a string of characters is represented using a fixed number...

Image compression is a type of data compression applied to digital images, to reduce their cost for storage or transmission. Algorithms may take advantage...

the same as considering absolute entropy (corresponding to data compression) as a special case of relative entropy (corresponding to data differencing)...

Entropy is a scientific concept, most commonly associated with states of disorder, randomness, or uncertainty. The term and the concept are used in diverse...

dictionary-matching stage (LZ77), and unlike other common compression algorithms does not combine it with an entropy coding stage (e.g. Huffman coding in DEFLATE)...

Conditional entropy Covert channel Data compression Decoder Differential entropy Fungible information Information fluctuation complexity Information entropy Joint...

data compression for data whose source is an independent identically-distributed random variable, and the operational meaning of the Shannon entropy. Named...

Rice coding is used as the entropy encoding stage in a number of lossless image compression and audio data compression methods. Golomb coding uses a...

codes. It may be combined with other general lossless data compression techniques such as entropy encoding and dictionary coders to compress the remaining...

statistics, the Kullback–Leibler (KL) divergence (also called relative entropy and I-divergence), denoted D KL ( P ∥ Q ) {\displaystyle D_{\text{KL}}(P\parallel...

In data compression, a universal code for integers is a prefix code that maps the positive integers onto binary codewords, with the additional property...

In information technology, lossy compression or irreversible compression is the class of data compression methods that uses inexact approximations and...

of the position of the gas is reduced, and seemingly would reduce the entropy of the system, but the temperature of the system will rise as the process...

values may be confused Entropy encoding, data compression strategies to produce a code length equal to the entropy of a message Entropy (computing), an indicator...

compression that entails work done on or by the flow. For an isentropic flow, entropy density can vary between different streamlines. If the entropy density...

(ANS) is a family of entropy encoding methods introduced by Jarosław (Jarek) Duda from Jagiellonian University, used in data compression since 2014 due to...

non-randomness or data compression; thus this interpretation also applies to this index. In addition, interpretation of biodiversity as entropy has also been proposed...

is a form of entropy encoding used in the H.264/MPEG-4 AVC and High Efficiency Video Coding (HEVC) standards. It is a lossless compression technique, although...

converted to the work done by the system. The cycle is reversible, and entropy is conserved, merely transferred between the thermal reservoirs and the...

form of entropy coding used in H.264/MPEG-4 AVC video encoding. It is an inherently lossless compression technique, like almost all entropy-coders. In...

conditional entropy conditional quantum entropy confusion and diffusion cross-entropy data compression entropic uncertainty (Hirchman uncertainty) entropy encoding...

compression ratio much better than 2:1 because of the intrinsic entropy of the data. Compression algorithms which provide higher ratios either incur very large...

standards were limited in their compression performance. Total decorrelation cannot be achieved by first order entropy of the prediction residuals employed...

information theory which provides the theoretical foundations for lossy data compression; it addresses the problem of determining the minimal number of bits per...