| Popis: |
The paper presents an original method of text transformation based on permutations with restrictions and elimination of repetitive letters within a word having the purpose of improving the performance of lossless compression algorithms, based on a new generated dictionary. The direct transformation algorithm and the reverse transformation algorithm are presented, as well as the impact on more compression techniques compared to other transforms used in text compression. This transformation has as purpose the performance improvement for existing text compression algorithms, including the use of neural networks. The main condition is that the transformation should be reversible for the text recovery after decompression. |
