Hybrid Partitioning Technique For Fractal Image Compression

Main Article Content

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 partitionin

Article Details

How to Cite
Hybrid Partitioning Technique For Fractal Image Compression. (2022). Journal of the College of Basic Education, 17(67), 55-68. https://doi.org/10.35950/cbej.vi.7795
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Articles for the humanities and pure sciences

How to Cite

Hybrid Partitioning Technique For Fractal Image Compression. (2022). Journal of the College of Basic Education, 17(67), 55-68. https://doi.org/10.35950/cbej.vi.7795