Multiple technique entropy coding system and method
A system, method and computer program product having optimal matching to a known or measured probability distribution encodes data without the use of an excessively large lookup table. An encoder constructed according to the present invention uses two or more different encoding methods in combination. In one embodiment, Huffman coding by table lookup is combined with computational generation, such as by using an exponential Golomb equation. The most commonly occurring elements are looked up in a small Huffman table, while the remaining elements are coded with the equation. In another embodiment, data is encoded using two or more equations. In yet another embodiment, data is encoded using multiple tables in conjunction with one or more equations.
1. A method of compressing data, comprising:
calculating from an incoming data stream binary representations of magnitudes of symbols for each portion of the incoming data stream according to an algorithmic analysis;
selectively applying a first coding technique to symbols of the portions of the incoming data stream that have binary representations of magnitudes greater than a first threshold value;
selectively applying a second coding technique to portions of the incoming data stream that have binary representations of magnitudes less than the first threshold value but greater than a second threshold value; and
selectively applying a third coding technique to portions of the incoming data stream that have binary representations of magnitudes less than the second threshold value.
2. A system comprising:
means for assigning from an incoming data stream binary representations of magnitudes of symbols to each of the portions of the incoming data stream;
means for applying a first coding technique when binary representations of the magnitudes of symbols of any portion of the incoming data stream is greater than a first threshold value;
means for applying a second coding technique when the binary representations of magnitude of any portion of the incoming data stream is less than the first threshold value but greater than a second threshold value; and
means for applying a third coding technique when the binary representations of magnitude of any portion of the incoming data stream is less than the second threshold value.
3. The method as claimed in claim 1 , wherein the first coding technique comprises an exponential Golumb encoding method encoding the portions of the incoming data stream that have binary representations of magnitudes greater than the first threshold value.
4. The system as claimed in claim 2 , wherein the means for applying the first coding technique comprises an exponential Golumb encoder encoding any portion of the incoming data stream having a binary representation of a magnitude that is greater than the first threshold value.
5. The system as claimed in claim 4 , wherein the means for applying the third coding technique comprises a Huffman encoder for encoding any portion of the incoming data stream having a binary representation of a magnitude that is less than the second threshold value.
6. The method as claimed in claim 3 , wherein the third coding technique comprises Huffman encoding any portion of the incoming data stream having a binary representation of a magnitude that is less than the second threshold value.