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

TitleAn Edge-based Image Interpolation Approach Using Symmetric Biorthogonal Wavelet Transform
Publication TypeConference Paper
Year of Publication2006
AuthorsSu, W., and R. K. Ward
Conference NameMultimedia Signal Processing, 2006 IEEE 8th Workshop on
Pagination355 -359
Date Publishedoct.
Keywordsedge-based image interpolation, human vision, image resolution, interpolation, symmetric biorthogonal wavelet transform, wavelet transforms

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


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