Handbook of Image and Video Processing
Handbook of Image and Video Processing
Digital Image Processing
A Variational Approach to Remove Outliers and Impulse Noise
Journal of Mathematical Imaging and Vision
Image Deblurring in the Presence of Impulsive Noise
International Journal of Computer Vision
Fast Two-Phase Image Deblurring Under Impulse Noise
Journal of Mathematical Imaging and Vision
Deblurring of Color Images Corrupted by Impulsive Noise
IEEE Transactions on Image Processing
Adaptive median filters: new algorithms and results
IEEE Transactions on Image Processing
General choice of the regularization functional in regularized image restoration
IEEE Transactions on Image Processing
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Image restoration degraded observation has been a long standing problem in image processing. Number of techniques has been proposed in the past to encounter such problems. Image deblurring in the presence of impulse noise has been discussed here. We propose a two phase approach for restoration of images degraded due to blur and impuse noise. In the first phase, a novel detection method is proposed to findout the pixels which are affected by noise. Then the noisy pixels are filtered out. The filtered data is then used for deblurring in the second phase. In the second phase, a new regularization technique is applied to handle the outliers, which still remains after first phase. Simulation results are shown to validate the proposed method.