@inproceedings{62de1b69ea5e4c7c94ddbdf61738a7ab,
title = "Re-ordering methods in adaptive rank-based re-indexing scheme",
abstract = "We apply the adaptive ranking methods in preprocessing for lossless image compression. We suggest four phase methods to determine priority in same co-occurrence frequency on a row as rank-based re-indexing of index image. Firstly, the element located at first has the priority rank in the co-occurrence frequency matrix. Secondly, the element located at the main diagonal axis has the priority rank. Thirdly, considering all co-occurrence counts in a row and a weighted function according to distance among elements, the nearest element to the highest one has the priority rank. Finally, this method compromises the third method with the second method to decide the priority. As the result of the experiment, the proposed methods showed efficiency on compression ratio than conventional re-indexing algorithms.",
keywords = "Lossless image compression, Re-indexing, Re-ordering",
author = "You, \{Kang Soo\} and Choi, \{Jae Ho\} and Kwak, \{Hoon Sung\}",
year = "2006",
doi = "10.1007/11801603\_61",
language = "English",
isbn = "3540366679",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer Verlag",
pages = "573--582",
booktitle = "PRICAI 2006",
note = "9th Pacific Rim International Conference on Artificial Intelligence ; Conference date: 07-08-2006 Through 11-08-2006",
}