Name
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. |
Year | DOI | Venue |
|---|---|---|
2006 | 10.1007/978-3-540-36668-3_61 | PRICAI |
Keywords | Field | DocType |
priority rank,nearest element,adaptive rank-based re-indexing scheme,compression ratio,co-occurrence count,re-ordering method,conventional re-indexing algorithm,co-occurrence frequency matrix,phase method,adaptive ranking method,co-occurrence frequency,indexation,weight function,lossless image compression | Rank (linear algebra),Weight function,Pattern recognition,Ranking,Computer science,Algorithm,Artificial intelligence,Data compression,Diagonal matrix,Image compression,Main diagonal,Lossless compression | Conference |
Volume | ISSN | Citations |
4099 | 0302-9743 | 0 |
PageRank | References | Authors |
0.34 | 4 | 3 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Kang Soo You | 1 | 4 | 2.77 |
| Jae Ho Choi | 2 | 8 | 2.14 |
| Hoon Sung Kwak | 3 | 0 | 1.69 |