Journal of Northeastern University Natural Science ›› 2020, Vol. 41 ›› Issue (4): 482-487.DOI: 10.12068/j.issn.1005-3026.2020.04.005

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Image Denoising and Enhancement Algorithm Based on Median Filtering and Fractional Order Filtering

ZHANG Xue-feng, YAN Hui   

  1. School of Sciences, Northeastern University, Shenyang 110819, China.
  • Received:2019-08-03 Revised:2019-08-03 Online:2020-04-15 Published:2020-04-17
  • Contact: ZHANG Xue-feng
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Abstract: In order to avoid the blurring of image by classical median filter, a noise detection model was established. A switching filter was designed by detecting noise. When the detection point is noisy, the median filter was used for denoising. When the detection point is non-noisy point, the fractional differential filter was used to enhance the image. The proposed algorithm can not only effectively remove the salt and pepper noise in the image, but also enhance the image, so that the image retains the details intact when the edge is protruding. Selecting “Lena” and other classic images for multiple experiments and analysis, the results showed the effectiveness of the proposed algorithm in image denoising and enhancement.

Key words: image denoising, median filtering, fractional differential, salt and pepper noise, noise detection

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