Abstract
This paper presents a fusion scheme for Wavelets and Fractal image compression based on the self-similarity of the space-frequency plane of sub-band encoded images. Various kinds of Wavelet transform are examined for the characteristics of their self-similarity and evaluated for the adoption of Fractal modeling. The aim of this paper is to reduce the information of the two sets of blocks involved in the Fractal image compression by using the self-similarity of images. And also, the new video encoder using the fusion method of Wavelets and Fractal adopts the similar manner as the motion compensation technique of MPEG encoder. Experimental results show almost the same PSNR and bits rate as conventional Fractal image encoder depending on the sampled images by computer simulations.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
Stollinitz, E. J., et al.: Wavelets for Computer Graphics: A Premier Pt.1. IEEE Computer Graphics & Application, (May, 1995), 76–84
Jaquine, A. E.: Image Coding based on a Fractal Theory of Iterated Contractive Image Transformations. IEEE Trans. Image Processing, Vol.1, No.1, (June, 1992), 18–30
Kim, C. S., et al.: Fractal Coding of Video Sequence using CPM and NCIM. 1st New Video Media Technology Conference, (March, 1996), 72–76
Tonomura, Y., et al.: Video Handling based on Structured Information for Hypermedia Systems. Proc. of International Conference on Multimedia Information Systems, (1991), 333–344
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2001 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Ueno, Y. (2001). Wavelets and Fractal Image Compression Based on Their Self—Similarity of the Space-Frequency Plane of Images. In: Tang, Y.Y., Yuen, P.C., Li, Ch., Wickerhauser, V. (eds) Wavelet Analysis and Its Applications. WAA 2001. Lecture Notes in Computer Science, vol 2251. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-45333-4_13
Download citation
DOI: https://doi.org/10.1007/3-540-45333-4_13
Published:
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-43034-6
Online ISBN: 978-3-540-45333-8
eBook Packages: Springer Book Archive