ZHAO Jing and LIN Hongfei, “Details-preserved Skin Re-tendering UsingImproved NLEMD,” Chinese Journal of Electronics, vol. 19, no. 2, pp. 288-290, 2010,
Citation:
ZHAO Jing and LIN Hongfei, “Details-preserved Skin Re-tendering UsingImproved NLEMD,” Chinese Journal of Electronics, vol. 19, no. 2, pp. 288-290, 2010,
ZHAO Jing and LIN Hongfei, “Details-preserved Skin Re-tendering UsingImproved NLEMD,” Chinese Journal of Electronics, vol. 19, no. 2, pp. 288-290, 2010,
Citation:
ZHAO Jing and LIN Hongfei, “Details-preserved Skin Re-tendering UsingImproved NLEMD,” Chinese Journal of Electronics, vol. 19, no. 2, pp. 288-290, 2010,
The Neighborhood limited empirical mode decomposition (NLEMD) is improved in the local mean computation using re¯ned symmetrical extrema distribu- tion. The images are decomposed into the IMFs using the improved NLEMD. Then, the IMFs are ¯ltered using one adaptive ¯lter to remove the spots making the skin look aging. The adaptive ¯lter is based on the IMFs' local statis- tics, which is estimated using the fast approach. The skin re-tendering algorithm in this paper makes the skin more tender than other approaches without losing the necessary details of the skin.