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Proceedings Paper

Singularity-preserving image interpolation using wavelet transform extrema extrapolation
Author(s): Guangtao Zhai; Yang Zhang; Xiaoshi Zheng
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Paper Abstract

One common task of image interpolation is to enhance the resolution of the image, which means to magnify the image without loss in its clarity. Traditional methods often assume that the original images are smooth enough so as to possess continues derivatives, which tend to blur the edges of the interpolated image. A novel fast image interpolation algorithm based on wavelet transform and multi-resolution analysis is proposed in this paper. It uses interpolation and extrapolation polynomial to estimate the higher resolution informatoin of the image and generate a new sub-band of wavelet transform coefficients to get processed image with shaper edges and preserved singularities.

Paper Details

Date Published: 25 September 2003
PDF: 4 pages
Proc. SPIE 5286, Third International Symposium on Multispectral Image Processing and Pattern Recognition, (25 September 2003); doi: 10.1117/12.538876
Show Author Affiliations
Guangtao Zhai, Shandong Univ. (China)
Yang Zhang, Shandong Univ. (China)
Xiaoshi Zheng, Shandong Computer Science Ctr. (China)

Published in SPIE Proceedings Vol. 5286:
Third International Symposium on Multispectral Image Processing and Pattern Recognition
Hanqing Lu; Tianxu Zhang, Editor(s)

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