Statistical Analysis of Fractal Image Coding and Fixed Size Partitioning Scheme

Article ID

CSTGV4TU2F

Statistical Analysis of Fractal Image Coding and Fixed Size Partitioning Scheme

Swalpa Kumar Roy
Swalpa Kumar Roy
Samir Kumar Bandyopadhay
Samir Kumar Bandyopadhay
Debnath Bhattacharyya
Debnath Bhattacharyya
Tai-Hoon Kim
Tai-Hoon Kim
DOI

Abstract

Fractal Image Compression (FIC) is a state of the art technique used for high compression ratio. But it lacks behind in its encoding time requirements. In this method an image is divided into non-overlapping range blocks and overlapping domain blocks. The total number of domain blocks is larger than the range blocks. Similarly the sizes of the domain blocks are twice larger than the range blocks. Together all domain blocks creates a domain pool. A range block is compared with all possible domains block for similarity measure. So the domain is decimated for a proper domainrange comparison. In this paper a novel domain pool decimation and reduction technique has been developed which uses the median as a measure of the central tendency instead of the mean (or average) of the domain pixel values. However this process is very time consuming.

Statistical Analysis of Fractal Image Coding and Fixed Size Partitioning Scheme

Fractal Image Compression (FIC) is a state of the art technique used for high compression ratio. But it lacks behind in its encoding time requirements. In this method an image is divided into non-overlapping range blocks and overlapping domain blocks. The total number of domain blocks is larger than the range blocks. Similarly the sizes of the domain blocks are twice larger than the range blocks. Together all domain blocks creates a domain pool. A range block is compared with all possible domains block for similarity measure. So the domain is decimated for a proper domainrange comparison. In this paper a novel domain pool decimation and reduction technique has been developed which uses the median as a measure of the central tendency instead of the mean (or average) of the domain pixel values. However this process is very time consuming.

Swalpa Kumar Roy
Swalpa Kumar Roy
Samir Kumar Bandyopadhay
Samir Kumar Bandyopadhay
Debnath Bhattacharyya
Debnath Bhattacharyya
Tai-Hoon Kim
Tai-Hoon Kim

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Samir Bandyopadhyay. 2015. “. Global Journal of Computer Science and Technology – F: Graphics & Vision GJCST-F Volume 15 (GJCST Volume 15 Issue F3): .

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Crossref Journal DOI 10.17406/gjcst

Print ISSN 0975-4350

e-ISSN 0975-4172

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GJCST-F Classification: I.3.3
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Statistical Analysis of Fractal Image Coding and Fixed Size Partitioning Scheme

Swalpa Kumar Roy
Swalpa Kumar Roy
Samir Kumar Bandyopadhay
Samir Kumar Bandyopadhay
Debnath Bhattacharyya
Debnath Bhattacharyya
Tai-Hoon Kim
Tai-Hoon Kim

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