10 Facts About Rice coding


Golomb coding is a lossless data compression method using a family of data compression codes invented by Solomon W Golomb in the 1960s.

FactSnippet No. 1,639,409

Rice coding denotes using a subset of the family of Golomb codes to produce a simpler prefix code.

FactSnippet No. 1,639,410

Rice used this set of codes in an adaptive coding scheme; "Rice coding" can refer either to that adaptive scheme or to using that subset of Golomb codes.

FactSnippet No. 1,639,411

Whereas a Golomb code has a tunable parameter that can be any positive integer value, Rice coding codes are those in which the tunable parameter is a power of two.

FactSnippet No. 1,639,412

Rice coding was motivated to propose this simpler subset due to the fact that geometric distributions are often varying with time, not precisely known, or both, so selecting the seemingly optimal code might not be very advantageous.

FactSnippet No. 1,639,413

Related searches

Solomon PDF Microsoft

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

FactSnippet No. 1,639,414

Golomb Rice coding uses a tunable parameter to divide an input value into two parts:, the result of a division by, and, the remainder.

FactSnippet No. 1,639,415

The Golomb–Rice coding parameter is then determined from that estimated PDF.

FactSnippet No. 1,639,416

The run-length Golomb–Rice coding code achieves that using a very simple algorithm that adjusts the Golomb–Rice coding parameter up or down, depending on the last encoded symbol.

FactSnippet No. 1,639,417

Run-length Golomb–Rice adaptive version of Golomb–Rice coding, mentioned above, is used for encoding screen content in virtual machines in the RemoteFX component of the Microsoft Remote Desktop Protocol.

FactSnippet No. 1,639,418