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Proceedings of the 4th international conference conference on Computer systems and technologies e-Learning - CompSysTech '03, 2003
The paper gives and introduction on Image Coding based on Fractals and develops a simple algorithm to be used as a reference design.
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The paper gives and introduction on Image Coding based on Fractals and develops a simple algorithm to be used as a reference design.
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Multi-Fractal Image Compression
2019 International Conference on Machine Learning, Big Data, Cloud and Parallel Computing (COMITCon), 2019In this paper we are calculating the fractal dimension of images with irregular objects and also are representing the computation of fractal dimension via Euclidean dimension sets. We have applied box counting algorithm for estimation of fractal dimension for dynamic and iterated functions.
Supriya Khaitan, Rashi Agarwal
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Genetic fractal image compression
ACS/IEEE International Conference on Computer Systems and Applications, 2003. Book of Abstracts., 2004Summary form only given. The fractal image compression problem put forward three major requirements: speeding up the compression algorithm, improving image quality or increasing compression ratio. Major variants of the standard algorithm were proposed to speed up computation time.
A. Gafour, K. Faraoun, A. Lehireche
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Multiresolution Analysis of Fractal Image Compression
Fractals, 1997In this research, we perform a multiresolution analysis of the mappings used in fractal image compression. We derive the transform-domain structure of the mappings and demonstrate a close connection between fractal image compression and wavelet transform coding using the Haar basis.
Caso, Gregory, Kuo, C.-C. Jay
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Fractal-Based Image Compression
1989Abstract : A short review of the theory of iterated function systems (IFS), a thorough explanation of their implementation, and an example using computer code useful in developing encoded images are presented. An example of an encoded map, with a brief discussion of data compression and error analysis, is presented. Details of an extension of IFS codes
E. W. Jacobs, R. D. Boss
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On accelerating fractal compression
Proceedings DCC '98 Data Compression Conference (Cat. No.98TB100225), 2002Summary form only given. Image data compression by fractal techniques has been widely investigated. Although its high compression ratio and resolution-free decoding properties are attractive, the encoding process is computationally demanding in order to achieve an optimal compression.
null Hsueh-Ting Chu +1 more
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Study on Huber Fractal Image Compression
IEEE Transactions on Image Processing, 2009In this paper, a new similarity measure for fractal image compression (FIC) is introduced. In the proposed Huber fractal image compression (HFIC), the linear Huber regression technique from robust statistics is embedded into the encoding procedure of the fractal image compression.
Jyh-Horng, Jeng +2 more
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2021
ABSTRACT The purpose of this thesis is to show that fractal image compression can be studied with the same point of view as conventional image compression techniques. The first chapter gives a brief on fractal compression technology. How was the early investigations. What is the base of Fractal Compression ? and whom made it available.
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ABSTRACT The purpose of this thesis is to show that fractal image compression can be studied with the same point of view as conventional image compression techniques. The first chapter gives a brief on fractal compression technology. How was the early investigations. What is the base of Fractal Compression ? and whom made it available.
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Image compression with fractals
IEE Colloquium on Fractals in Signal and Image Processing, 1995Fractal image compression has gone through more than twenty years developments among which, IFS based compression algorithm stands out as the most promising direction for further research and development. The basic idea is to represent an image by fractals.
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CRITICAL REVIEW OF FRACTAL IMAGE COMPRESSION
International Journal of Modern Physics C, 1995In this paper, fractal compression methods are reviewed. Three new methods are developed and their results are compared with the results obtained using four previously published fractal compression methods. Furthermore, we have compared the results of these methods with the standard JPEG method.
HARRI RAITTINEN, KIMMO KASKI
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