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  1. Home
  2. Research Output and Publications
  3. Faculty of Electronic Engineering & Technology (FKTEN)
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  5. Peer adjacent mapping with optimum parameters for fractal image compression on medical images
 
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Peer adjacent mapping with optimum parameters for fractal image compression on medical images

Journal
AIP Conference Proceedings
THE 2ND INTERNATIONAL CONFERENCE ON APPLIED PHOTONICS AND ELECTRONICS 2019 (InCAPE 2019)
ISSN
0094-243X
Date Issued
2020
Author(s)
Norazeani Abdul Rahman
Universiti Malaysia Perlis
Rizalafande Che Ismail
Universiti Malaysia Perlis
Ahmad Husni Mohd Shapri
Universiti Malaysia Perlis
Mohd Nazrin Md Isa
Universiti Malaysia Perlis
DOI
10.1063/1.5142102
Abstract
In order to reduce fractal image compression (FIC) computational complexity, this paper presents a novel approach based on peer adjacent and mean difference method in mapping the domain and range blocks. It allows the substitution of the costly process of the domain and range mapping with straight-forward peer adjacent schemes. The optimum parameters are suggested in terms of quadtree threshold, range sizes and number of iterations to fine-tune the output. Simulations on real computed radiography images show that the proposed method with optimum parameters yields a considerable peak signal-to-noise ratio (PSNR) value above 48 dB, reducing the runtime by as much as 19.32 s with the highest compression ratio is 20.03. Comparison with the standard FIC method confirms that our method not only accelerated the domain-range mapping procedure but also provided a high compression ratio with remarkable visual quality.
Subjects
  • Theoretical computer ...

  • Data structure

  • Electronic noise

  • Medical imaging

  • Radiography

File(s)
research repository notification.pdf (4.4 MB)
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