Research Article

Fractal Image Decompression via Non-affine Contractions

Volume: 38 Number: 1 March 1, 2025
EN

Fractal Image Decompression via Non-affine Contractions

Abstract

In this study, considering the well-known fractal image compression, we introduce the image decompression method through non-affine contraction mappings. To achieve this, we convert affine contraction mappings into non-affine contraction mappings using Lipschitz continuous functions, subject to certain assumptions. Our expectation is to obtain decompressed images of superior quality compared to the classical fractal image compression method. We also apply our method for audio decompression. At the end, we illustrate the proposed method with some examples.

Keywords

References

  1. [1] Hutchinson, J.E., “Fractals and self similarity”, Indiana University Mathematics Journal, 30(5): 713-747, (1981).
  2. [2] Barnsley, M.F., “Fractals Everywhere”, Dover Publications, Inc: Mineola, New York, USA, (2012).
  3. [3] Barnsley, M.F., Sloan, A.D., “A better way to compress images”, Byte 13(1): 215-223, (1988).
  4. [4] Aslan, İ., Gökçer Ellidokuz, T.Y., “Approximation by N-dimensional max-product and max-min kind discrete operators with applications”, Filomat, 38(5): 1825-1845, (2024).
  5. [5] Çelik, D., Deniz, A., Özdemir, Y., “Graph-Directed Fractal Image Compression”, Eskişehir Technical University Journal of Science and Technology B- Theoretical Sciences, 10(1): 1-10, (2022).
  6. [6] Gökçer, T.Y., Aslan, İ., “Approximation by Kantorovich-type max-min operators and its applications”, Applied Mathematics and Computation 423: 127011, (2022).
  7. [7] Menassel, R., “Optimization of fractal image compression”, Fractal Analysis-Selected Examples. IntechOpen, (2020).
  8. [8] Nandi, U., “Fractal image compression using a fast affine transform and hierarchical classification scheme”, The Visual Computer, 38(11): 3867-3880, (2022).

Details

Primary Language

English

Subjects

Image Processing, Approximation Theory and Asymptotic Methods, Applied Mathematics (Other)

Journal Section

Research Article

Early Pub Date

December 11, 2024

Publication Date

March 1, 2025

Submission Date

January 25, 2024

Acceptance Date

November 8, 2024

Published in Issue

Year 2025 Volume: 38 Number: 1

APA
Aslan, N., & Aslan, İ. (2025). Fractal Image Decompression via Non-affine Contractions. Gazi University Journal of Science, 38(1), 292-303. https://doi.org/10.35378/gujs.1425702
AMA
1.Aslan N, Aslan İ. Fractal Image Decompression via Non-affine Contractions. Gazi University Journal of Science. 2025;38(1):292-303. doi:10.35378/gujs.1425702
Chicago
Aslan, Nisa, and İsmail Aslan. 2025. “Fractal Image Decompression via Non-Affine Contractions”. Gazi University Journal of Science 38 (1): 292-303. https://doi.org/10.35378/gujs.1425702.
EndNote
Aslan N, Aslan İ (March 1, 2025) Fractal Image Decompression via Non-affine Contractions. Gazi University Journal of Science 38 1 292–303.
IEEE
[1]N. Aslan and İ. Aslan, “Fractal Image Decompression via Non-affine Contractions”, Gazi University Journal of Science, vol. 38, no. 1, pp. 292–303, Mar. 2025, doi: 10.35378/gujs.1425702.
ISNAD
Aslan, Nisa - Aslan, İsmail. “Fractal Image Decompression via Non-Affine Contractions”. Gazi University Journal of Science 38/1 (March 1, 2025): 292-303. https://doi.org/10.35378/gujs.1425702.
JAMA
1.Aslan N, Aslan İ. Fractal Image Decompression via Non-affine Contractions. Gazi University Journal of Science. 2025;38:292–303.
MLA
Aslan, Nisa, and İsmail Aslan. “Fractal Image Decompression via Non-Affine Contractions”. Gazi University Journal of Science, vol. 38, no. 1, Mar. 2025, pp. 292-03, doi:10.35378/gujs.1425702.
Vancouver
1.Nisa Aslan, İsmail Aslan. Fractal Image Decompression via Non-affine Contractions. Gazi University Journal of Science. 2025 Mar. 1;38(1):292-303. doi:10.35378/gujs.1425702