A New Noise Detection and Adaptive Filter Method Based on Fuzzy Reasoning

In order to preserve image fine details while de-noising, a new noise detection and adaptive filter method, which is based on fuzzy reasoning technique, was proposed. At first, according to the local statistic information ROAD(rank-order absolute differences) and orientational laplacian differences, the possible noises was detected with fuzzy reasoning technique. Then possible noise was filtered with an adaptive method, which can preserve details to a great extent by keeping uncontaminated pixels unchanged. Lastly, some possible error judged noise caused by local high noise intensity and high noise image were corrected with an improved filtering approach, in which relatively possible noise was located and filtered iteratively, each time only the most possible noise was filtered. Experimental results show that with appropriate iterative the proposed method is efficient for different noise intensities.