Abstract
This paper analyzes an image noise model of additive positive and negative impulses that often appear in practical applications. Based on the characteristic that any pixel in an undisturbed image is similar to its neighbors, a local pixel correlation coefficient is proposed. For a pixel, based on the number of similar pixels in its neighborhood, the probability of whether it is noisy or normal can be accurately calculated. An adaptive masking weighted mean filter with consideration of contextual information is proposed to filter noise while retaining the edge details of the image. The proposed algorithm does not require any initial parameters or threshold values to be set. Experimental results show that the proposed algorithm is applicable to the proposed noise model and that the proposed noise filtering is significantly better than that of existing algorithms.
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Chen, QQ., Chang, CY. A robust noise removal algorithm with consideration of contextual information. Multidim Syst Sign Process 27, 179–200 (2016). https://doi.org/10.1007/s11045-014-0298-z
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DOI: https://doi.org/10.1007/s11045-014-0298-z