An iterative median filtering algorithm based on improved spring-mass model for the removal of impulse noises from image is proposed by analyzing the deficiencies of median filter when it is used to eliminate impulse noise. The algorithm of the noise detector is based on the mechanical balance principle. Then an iterative median filtering algorithm is used to filter the noise pixels. Compared with conventional methods, the results show that the proposed algorithm is effective in noise suppression and detail preservation.
References
1.
KoS JLeeY H, “Center Weighted Median Filters and Their Applications to Image Enhancement”, IEEE Trans on Circuits and Systems, 38 (9), 984–993 (1991).
2.
JunghuaWangLiandaLin, “Improved Median Filter Using Minmax Algorithm for Image Processing”, Electronics Letters, 33(16), 1362–1363 (1997).
3.
HwangHHaddadR A, “Adaptive median filters: New algorithms and results”, IEEE Transactions on Image Processing, 4(4), 499–502 (1995).
4.
HanW YLinJ C, “Minimum-maximum exclusive mean(MMEM)filter to remove impulse noise from highly corrupted images”, Electronics Letters, 33(2), 124–125 (1997).
5.
YanfengQuJianXu, “New Effective Filtering Algorithm for the Removal of Impulse Noise from Images”, Journal of Computer-aided Design & Computer Graphics, 15(4), 397–401 (2003).
YongyiGongXiaonanLuoWeijiaJiaHoushengHuang, “Medical Image Registration Based on Modified Spring-Mass Model”, Chinese Journal of Computers, 31(7), 1224–1233 (2008).
8.
TanLiJiawanZhangJizhouSun, “Elastic Medical Image Registration Based on Spring Mass System”, Journal of Computer-aided Design & Computer Graphics, 19(3), 351–355 (2007).
