Fast Two-Phase Image Deblurring Under Impulse Noise
- 528 Downloads
In this paper, we propose a two-phase approach to restore images corrupted by blur and impulse noise. In the first phase, we identify the outlier candidates—the pixels that are likely to be corrupted by impulse noise. We consider that the remaining data pixels are essentially free of outliers. Then in the second phase, the image is deblurred and denoised simultaneously by a variational method by using the essentially outlier-free data. The experiments show several dB’s improvement in PSNR with respect to the typical variational methods.
KeywordsDeblurrind Impulse noise Two-phase methods
- 1.Astola, J., Kuosmanen, P.: Fundamentals of Nonlinear Digital Filtering. CRC, Boca Raton (1997) Google Scholar
- 2.Bar, L., Sochen, N., Kiryati, N.: Image deblurring in the presence of salt-and-pepper noise. In: Proceeding of 5th International Conference on Scale Space and PDE methods in Computer Vision. LNCS, vol. 3439, pp. 107–118. Springer, Berlin (2005) Google Scholar
- 12.Gonzalez, R., Woods, R.: Digital Image Processing. Addison-Wesley, Reading (1993) Google Scholar
- 18.Tikhonov, A., Arsenin, V.: Solutions of Ill-Posed Problems. Winston (1977) Google Scholar