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An Edge-based Image Interpolation Approach Using Symmetric Biorthogonal Wavelet Transform

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2 Author(s)
Weizhong Su ; Department of Electrical and Computer Engineering, University of British Columbia, Canada. Email: wsu@interchange.ubc.ca ; Rabab K. Ward

Edge-based image interpolation often leads to an image with good quality because of the importance of sharp edges and smooth contours to the human vision. The wavelet-based image interpolation approach has good potential in producing interpolated images with high quality edges. Using the wavelet multiresolution analysis theory, such method is computationally demanding. In this paper, a new edge-based image interpolation method that uses symmetric biorthogonal wavelet transform is proposed. We form a list of ideal step edges and study the relationships between the wavelet approximation sub-image of each edge and its wavelet detail sub-images. Based on these relationships, a simple and efficient algorithm that predicts the edge information of high resolution images is proposed. For this method, the 9/7-M inverse wavelet transform is shown, experimentally, to yield better image interpolation performance compared to traditional image interpolation approaches

Published in:

2006 IEEE Workshop on Multimedia Signal Processing

Date of Conference:

3-6 Oct. 2006