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

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2 Author(s)
Weizhong Su ; Dept. of Electr. & Comput. Eng., British Columbia Univ., Vancouver, BC ; Ward, R.K.

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:

Multimedia Signal Processing, 2006 IEEE 8th Workshop on

Date of Conference:

3-6 Oct. 2006