Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/1515
Title: Image enlargement using fractal
Authors: Chung, KH
Fung, YH
Chan, YH 
Keywords: Algorithms
Computer simulation
Convolution
Fractals
Image enhancement
Image reconstruction
Interpolation
Issue Date: 2003
Publisher: IEEE
Source: 2003 IEEE International Conference on Acoustics, Speech, and Signal Processing : proceedings : April 6-10, 2003, Hong Kong, p. VI273-VI276 How to cite?
Abstract: In fractal coding technique, an image is encoded by making use of its self-similarity property. The image can be reconstructed with some well-defined contractive mappings based on this property and hence, in theory, the reconstructed image can be of any desirable size by using an initial image of appropriate size during the decoding process. However, in practice, the enlarged image is always degraded due to the sub-optimal contractive mappings used. In this paper, a fractal-based image enlargement technique is proposed to reduce this problem. This technique can preserve the details in edge regions while maintaining the smoothness in flat regions, which is superior to conventional image enlargement techniques such as bilinear interpolation and cubic convolution.
URI: http://hdl.handle.net/10397/1515
ISBN: 0-7803-7663-3
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