Edge-Preserving Super-Resolutıon Using An Adaptive Outlier Rejection Method
Öz
Registration errors are well-known problems in super-resolution restoration applications. Local outliers are caused by the registration errors and objects in motion. Instead of blind rejection of local outliers, we favor for the detected edges. For that, pre-estimated high-resolution image is searched for some specified edge and corner patterns. Outlier rejection is performed based on the pattern found. The method is shown to reduce over-blurring caused by the regularization that is common in iterative super-resolution restoration algorithms.
Anahtar Kelimeler
References
- [1] B. C. Tom and A. K. Katsaggelos, “Reconstruction of a High-Resolution Image by Simultaneous Registration, Restoration, and Interpolation of Low-Resolution Images,” Proc. 1995 IEEE International Conf. on Image Processing, pp. II-539-542, Oct. 1995, Washington, DC.
- [2] H.S. Hou, H.C. Andrews, "Cubic splines for image interpolation and digital filtering," IEEE Transactions on Acoustics, Speech, Signal Processing ASSP-26, Vol.6, pp. 508–517, 1978.
- [3] R. Y. Tsai and T. S. Huang. “Multiframe image restoration and registration,” In R. Y. Tsai and T. S. Huang, editors, Advances in Computer Vision and Image Processing, Vol.1, pp. 317–339. JAI Press Inc., 1984.
- [4] M. Irani and S. Peleg, “Improving Resolution by Image Registration,” Computer Vision, Graphics and Image Processing, vol.53, pp. 231–239, May 1991.
- [5] K.P. Hong, J.K. Paik, H. Ju Kim, C. Ho Lee, “An edge-preserving image interpolation system for a digital camcorder”, IEEE Transactions on Consumer Electronics, Vol.42, No.3, 1996.
- [6] Battiato S., Gallo G., Stanco F., “A Locally-Adaptive Zooming Algorithm for Digital Images”, Elsevier Image Vision and Computing Journal, Vol.20, No.11, pp.805-812, 2002.
- [7] C. Bauman, K. Sauer, “A Generalized Gaussian Image Model for Edge-Preserving MAP Estimation”, IEEE Transactions on Image Processing, Vol.2, No.3, pp.296-310, July 1993.
- [8] S. Tebaul, L. Blanc-Féraud, G. Aubert, M. Barlaud, “Variational approach for edge-preserving regularization using coupled PDE's”, IEEE Transactions on Image Processing, Vol.7, No.3, pp.387-397, 1998.
- [9] M. Belge, M.E. Kilmer, E.L. Miller, “Wavelet domain image restoration with adaptive edge-preserving regularization”, IEEE Transactions on Image Processing, Vol.9, No.4, pp.597-608, 2000.
- [10] M.K. Ng, N.K. Boze, “Mathematical Analysis of Super-Resolution Methodology”, IEEE Signal Processing Magazine, Vol.20, No.3, pp. 62-74, 2003.