- All Journals
- Al-Qadisiyah University
- Basrah University
- Kirkuk University
- Mosul University
- The Iraqi Borad for Medical Specialization
- University of Anbar
- University of Technology
- Al Mustafa University
- Al-Zahraa University for Women
- Alnoor University
- Kunooz University
- Misan University
- Ninevah University
- Tikrit University
- University of Al-Hamdaniya
- University of Kerbala
Hybrid Partitioning Technique For Fractal Image Compression | ||
| journal of the college of basic education | ||
| Article 1, Volume 16, Issue 67, 2011, Pages 55-68 | ||
| Author | ||
| Bashar Talib Hameed | ||
| Abstract | ||
| In fractal compression the image to be encoded is partitioned into blocks called ranges. Each range is coded by reference to some other part of the image called domain and by some affine transformation parameters. The number of ranges plays an important rule in encoding parameters. In order to obtain high compression ratio, only a small number of blocks are allowed in encoding process. In this paper we suggested a new technique called Composed Partitioning Technique (CPT) to reduce the number of partitioning blocks with keeping as much as possible the quality of the reconstructed image. CPT is used the features of both quadtree and H-V techniques, it uses the uniformity criterion to decide the range block is to be partitioned or not, then it uses a criterion that depends on both the pixel and the edges information of the image to decide the type and the direction of the partitioning and this will give a more restriction to the partitioning process. Keywords: fractal, partition, affine transforms quadtree and H-V partitioning | ||
|
Statistics Article View: 158 PDF Download: 104 |
||