Paper
27 February 1996 New results for fractal/wavelet image compression
Gregory Caso, C.-C. Jay Kuo
Author Affiliations +
Proceedings Volume 2727, Visual Communications and Image Processing '96; (1996) https://doi.org/10.1117/12.233269
Event: Visual Communications and Image Processing '96, 1996, Orlando, FL, United States
Abstract
In 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. We show that under certain conditions, the mappings correspond to a hierarchy of affine mappings between the subbands of the transformed image. Our analysis provides new insights into the mechanism underlying fractal image compression, leads to a non-iterative transform-domain decoding algorithm, and suggests a transform-domain encoding method with extensions to wavelets other than the Haar transform. As a result, we also propose a novel transform-domain encoding scheme whereby the image is hierarchically encoded starting with a coarse approximation and detail is added through a casual sequence of affine mappings between the subbands. This new approach is not only theoretically elegant, but also useful for embedded representation, i.e. images can be decoded to an intermediate resolution.
© (1996) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Gregory Caso and C.-C. Jay Kuo "New results for fractal/wavelet image compression", Proc. SPIE 2727, Visual Communications and Image Processing '96, (27 February 1996); https://doi.org/10.1117/12.233269
Lens.org Logo
CITATIONS
Cited by 12 scholarly publications.
Advertisement
Advertisement
RIGHTS & PERMISSIONS
Get copyright permission  Get copyright permission on Copyright Marketplace
KEYWORDS
Computer programming

Image compression

Wavelets

Fractal analysis

Associative arrays

Analog electronics

Image analysis

Back to Top