Theoretical and Natural Science
- The Open Access Proceedings Series for Conferences
Theoretical and Natural Science
Vol. 25, 20 December 2023
Open
Access | Article
The application of fractal and chaos theory in photo processing
* Author to whom correspondence should be addressed.
Abstract
Nowadays, more and more people are looking for a faster and safer way of encryption. Fractal coding and chaos encryption fit those two points. This article discussed the usage of Fractal and Chaos Theory in photo processing. For example, Fractals and chaos theory are usually used in picture encrypting and picture processing to make the object in the target picture much more clearly. And currently, the method become advanced. The current method can provide great defense from hacking. Meanwhile, in terms of compression performance, it achieves a higher compression ratio than other solutions while meeting the reconstruction visual quality. In this article, the writer analyses the future of Fractal coding by talking about the advantages and disadvantages of this method which came from different articles. Furthermore, in this paper, the author discusses the definition of Fractal and the properties of Fractal. The Iterated Function System (IFS) is also a key point in photo processing.
Keywords
Fractal, Chaos, Photo processing, Encryption
References
1. Yao Z, Hongxing W, Baozong Y 2000 Doctoral dissertation
2. Jiaqi W, Miao Z, Xiaoyun T, Zhu W 2022 Application Research of Computers Jisuanji Yingyong Yanjiu 39 12
3. Hua Z, Zhou Y 2016 Infor.Sci. 39 237-253
4. Haq T, Shah T 2021 J. of Infor. Secu. and Applications 61 102931
5. Deping Z, Zhi G, Lijia G 2002 J. of North. Uni. Natural Science Edition 23 9 825
6. Junjia Y, Wenbo L 2015 Electronic Measurement Technology 6 64-67
7. Min H, Haimin Z, Fei C 2022 J. of Tonghua Normal University 10 6-12
8. Sainan X, Mengchao D, Zhangfan Z, Tianqi Y 2023 Sci. and Tech. Innovation and Application 01
9. Chuanjiang H, Juanjuan H, Gaoping L 2007 Chinese J. of Image and Graphics 02
10. Ruisong Y, Yueming C 2023 J. of Shantou University Natural Science Edition 02
Data Availability
The datasets used and/or analyzed during the current study will be available from the authors upon reasonable request.
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- Volume Title
- Proceedings of the 3rd International Conference on Computing Innovation and Applied Physics
- ISBN (Print)
- 978-1-83558-233-6
- ISBN (Online)
- 978-1-83558-234-3
- Published Date
- 20 December 2023
- Series
- Theoretical and Natural Science
- ISSN (Print)
- 2753-8818
- ISSN (Online)
- 2753-8826
- DOI
- 10.54254/2753-8818/25/20240921
- Copyright
- 20 December 2023
- Open Access
- This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited