A Novel Approach to Noise Reduction for Impulse and Gaussian Noise
نویسندگان
چکیده
An efficient noise reduction approach is proposed by combining Robust Outlyingness Ratio (ROR) which measures how impulse like each pixel is, with noise adaptive fuzzy switching median filter (NAFSM) and fuzzy c-means (FCM) segmentation. Based on the ROR values all the pixels are divided into four levels. Then in the coarse and fine stage introduce the NAFSM filter that optimizes the performance by using fuzzy, median and processing pixel. For further optimization the FCM separates the remaining noisy and noise less pixels for the detection and removal of salt and pepper impulse noise. Finally the NL-means filter is applied to remove Gaussian noise and produce the high quality images. The experimental result shows the proposed denoising framework outperforms most existing filters and achieves high PSNR values. Keywords-salt and pepper impulse noise; ROR; noise adaptive fuzzy switching medianfilter; fuzzy c-means; fuzzy; NLMeans.
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