Real time fractal image coder based on characteristic vector matching

Fractal coding algorithm has many applications including image compression. In this paper a classification scheme is presented which allows the hardware implementation of the fractal coder. High speed and low power consumption are the goal of the suggested design. The introduced method is based on b...

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Bibliographic Details
Published in:Image and vision computing 2010-11, Vol.28 (11), p.1557-1568
Main Authors: Samavi, S., Habibi, M., Shirani, S., Rowshanbin, N.
Format: Article
Language:English
Subjects:
Algorithms
Classification
Coders
Coding
Fractal analysis
Fractal image compression
Fractals
Low power
Matching
Power consumption
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Summary:Fractal coding algorithm has many applications including image compression. In this paper a classification scheme is presented which allows the hardware implementation of the fractal coder. High speed and low power consumption are the goal of the suggested design. The introduced method is based on binary classification of domain and range blocks. The proposed technique increases the processing speed and reduces the power consumption while the qualities of the reconstructed images are comparable with those of the available software techniques. In order to show the functionality of the proposed algorithm, the architecture was implemented on a FPGA chip. The application of the proposed hardware is shown in image compression. The resulted compression ratios, PSNR error, gate count, compression speed and power consumption are compared with the existing designs. Other applications of the proposed design are feasible in certain fields such as mass–volume database coding and also in video coder’s block matching schemes.
ISSN:0262-8856
1872-8138
DOI:10.1016/j.imavis.2010.03.011