Singularity-preserving image interpolation using wavelet transform extrema extrapolation

Guangtao Zhai; Yang Zhang; Xiaoshi Zheng

doi:10.1117/12.538876

25 September 2003 Singularity-preserving image interpolation using wavelet transform extrema extrapolation

Guangtao Zhai, Yang Zhang, Xiaoshi Zheng

Proceedings Volume 5286, Third International Symposium on Multispectral Image Processing and Pattern Recognition; (2003) https://doi.org/10.1117/12.538876
Event: Third International Symposium on Multispectral Image Processing and Pattern Recognition, 2003, Beijing, China

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.

Citation Download Citation

Guangtao Zhai, Yang Zhang, and Xiaoshi Zheng "Singularity-preserving image interpolation using wavelet transform extrema extrapolation", Proc. SPIE 5286, Third International Symposium on Multispectral Image Processing and Pattern Recognition, (25 September 2003); https://doi.org/10.1117/12.538876

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