Abstract
In this paper, we proposed a new edge-directed image interpolation algorithm which can preserve the edge features and natural appearance of images efficiently. In the proposed scheme, we first get a close-form solution of the optimal interpolation coefficients under the sense of minimal mean square error by exploiting autoregressive model (AR) and the geometric duality between the low-resolution and high-resolution images .Then the coefficients of the Nonlocal Edge-directed interpolation (NLEDI) are derived with structure similarity in images, which are solutions of weighted least square equations. The new image interpolation approach preserves spatial coherence of the interpolated images better than the existing methods and it outperforms the other methods in terms of objective and subjective image quality.
Supported in part by National Science Foundation of China (60803068), and National Basic Research Program of China (973 Program, 2009CB320904).
This is a preview of subscription content, log in via an institution to check access.
Preview
Unable to display preview. Download preview PDF.
Similar content being viewed by others
References
Battiato, S., Gallo, G., Stanco, F.: A locally-adaptive zooming algorithm for digital images. Image and Vision Computing 20(11), 805–812 (2002)
Jensen, K., Anastassiou, D.: Subpixel edge localization and the interpolation of still images. IEEE Trans. Image Processing 4, 285–295 (1995)
Carrato, S., Ramponi, G., Marsi, S.: A simple edge-sensitive image interpolation filter. In: Proc. IEEE Int. Conf. Image Processing, vol. 3, pp. 711–714 (1996)
Morse, B.S., Schwartzwald, D.: Isophote-based interpolation. In: Proc. IEEE Int. Conf. Image Processing, vol. 3, pp. 227–231 (1998)
Wang, Q., Ward, R.: A new edge-directed image expansion scheme. In: Proc. IEEE Int. Conf. Image Processing, vol. 3, pp. 899–902 (2001)
Zhang, L., Wu, X.L.: An edge-guided image interpolation algorithm via directional filtering and data fusion. IEEE Trans. Image Processing 15, 2226–2238 (2006)
Li, X., Orchard, M.T.: New edge-directed interpolation. IEEE Trans. Image Process 10, 1521 (2001)
Asuni, N., Giachetti, A.: Accuracy improvements and artifacts removal in edge based image interpolation. In: Proc. 3rd Int. Conf. Computer Vision Theory and Applications, VISAPP 2008 (2008)
Buades, A., Coll, B., Morel, J.M.: A non-local algorithm for image denoising. In: IEEE Computer Society Conference on Computer Vision and Pattern Recognition, June 2005, vol. 2, pp. 60–65 (2005)
Protter, M., Elad, M., Takeda, H., Milanfar, P.: Generalizing the non-local-means to super-resolution reconstruction. IEEE Trans. Image Processing 18, 36–51 (2009)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2009 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Zhang, X., Ma, S., Zhang, Y., Zhang, L., Gao, W. (2009). Nonlocal Edge-Directed Interpolation. In: Muneesawang, P., Wu, F., Kumazawa, I., Roeksabutr, A., Liao, M., Tang, X. (eds) Advances in Multimedia Information Processing - PCM 2009. PCM 2009. Lecture Notes in Computer Science, vol 5879. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-10467-1_121
Download citation
DOI: https://doi.org/10.1007/978-3-642-10467-1_121
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-10466-4
Online ISBN: 978-3-642-10467-1
eBook Packages: Computer ScienceComputer Science (R0)