Detail-preserving median based filters in image processing
Pattern Recognition Letters
Nonlinear image processing
Adaptive median filters: new algorithms and results
IEEE Transactions on Image Processing
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In this paper, the algorithm is developed by combining advantages of the median filters for filtration of noisy pixels with noise detection step. The algorithm works well for suppressing impulse noise with noise density ranging from 10 to 70% while preserving image details. The proposed algorithm is based on the two schemes:- 1) Impulse noise detection scheme and 2) Adaptive filtering scheme. In the beginning, the noisy pixel in the image is detected by Iterative way. Finally, the noise is suppressed by estimating the values of the noisy pixels with a switching based median filter applied exclusively to those neighborhood pixels not labeled as noisy. The size of filtering window is adaptive in nature, and it depends on the number of noise-free pixels in current filtering window. Simulation results prove that the proposed method outperforms other existing Median filters for removing of Impulse noise with preserving image details.