Computer Science ›› 2015, Vol. 42 ›› Issue (1): 303-307.doi: 10.11896/j.issn.1002-137X.2015.01.067

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Adaptive Decision-based Unsymmetric Trimmed Median Filter

HUANG Yan, LEI Tao, FAN Yang-yu and LU Xi-pan   

  • Online:2018-11-14 Published:2018-11-14

Abstract: The decision-based unsymmetric trimmed median filter,which is efficient in restoring images contaminated by high-level pepper-salt noise,is however only effective to certain type of images due to its size-fixed filter window and the replacement of centre pixel using mean value of pixels in the window.Aiming at those drawbacks,this paper proposed an adaptive decision-based unsymmetric trimmed median filter.An estimation of homochromatic area is presented to solve the filter problem of original algorithm in homochromatic area.The noise restrain performance of MDBUTMF is improved by adopting adaptive size of filter window.Therefore,the proposed method is more robust and practical than original algorithm.It shows higher PSNR and also lower MAE and NCD in simulation comparing with some classic vector median filters and high-level noise restrain algorithms, restrains pepper-salt noise and retains image hue and details effectively in the meantime.

Key words: Color image processing,Adaptive filtering,Trimmed median filter,Robustness

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