Frequency selective weighted median filters

被引:2
|
作者
Choi, KS [1 ]
Lee, KH [1 ]
Ko, SJ [1 ]
Morales, AW [1 ]
机构
[1] Korea Univ, Dept Elect Engn, Seoul 136701, South Korea
来源
NONLINEAR IMAGE PROCESSING X | 1999年 / 3646卷
关键词
weighted median filter; frequency selective weighted median filter; difference of estimates; high-pass filter;
D O I
10.1117/12.341086
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
In this paper, we propose a frequency selective weighted median (FSWM) filter with arbitrary spectral behavior. The proposed scheme is motivated by the observation on the structure and design procedure of the linear-phase FIR high-pass (HP) filter. An FIR HP filter can be easily obtained by changing the sign of coefficients in odd position. Thus, the output of the HP filter can be represented as the difference between two subfilters which have all positive coefficients. This representation structure of the FIR HP filter is analogous to the difference of estimates (DoE) such as the difference of medians (DoM). The DoM is essentially a robust HP filter which is commonly used in edge detection. Based on this observation, we define a new nonlinear filtering structure consisting of linear combinations of weighted medians. We refer to this new filter class as the FSWM filter. It is shown experimentally that the FSWM filter can offer "low-pass (LP)" "HP", "band-pass (BP)", and "band-stop (BS)" frequency characteristics.
引用
收藏
页码:197 / 206
页数:10
相关论文
共 50 条
  • [21] The output distribution of fuzzy weighted median filters
    Nie, Y
    Barner, KE
    2002 45TH MIDWEST SYMPOSIUM ON CIRCUITS AND SYSTEMS, VOL III, CONFERENCE PROCEEDINGS, 2002, : 49 - 52
  • [22] Synthesis of fuzzy center weighted median filters
    Musashi Inst of Technology, Tokyo, Japan
    Electron Commun Jpn Part III Fundam Electron Sci, 2 (83-94):
  • [23] Weighted median based filters for the complex domain
    Rodriguez, JB
    Hoyos, S
    Li, Y
    Arce, GR
    2004 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH, AND SIGNAL PROCESSING, VOL II, PROCEEDINGS: SENSOR ARRAY AND MULTICHANNEL SIGNAL PROCESSING SIGNAL PROCESSING THEORY AND METHODS, 2004, : 909 - 912
  • [24] Selective adaptive weighted median filter
    Jin, Lianghai
    Xiong, Caiquan
    Li, Dehua
    OPTICAL ENGINEERING, 2008, 47 (03)
  • [25] FAST ALGORITHMS FOR ANALYZING AND DESIGNING WEIGHTED MEDIAN FILTERS
    YANG, RK
    GABBOUJ, M
    NEUVO, Y
    SIGNAL PROCESSING, 1995, 41 (02) : 135 - 152
  • [26] ON ROOT STRUCTURES AND CONVERGENCE PROPERTIES OF WEIGHTED MEDIAN FILTERS
    CHEN, HX
    YANG, RK
    GABBOUJ, M
    CIRCUITS SYSTEMS AND SIGNAL PROCESSING, 1995, 14 (06) : 735 - 747
  • [27] Accelerating the Distribution Estimation for the Weighted Median/Mode Filters
    Sheng, Lu
    Ngan, King Ngi
    Hui, Tak-Wai
    COMPUTER VISION - ACCV 2014, PT IV, 2015, 9006 : 3 - 17
  • [28] SOME ROOT PROPERTIES OF RECURSIVE WEIGHTED MEDIAN FILTERS
    HAN, YG
    SONG, IH
    PARK, YS
    SIGNAL PROCESSING, 1991, 25 (03) : 337 - 344
  • [29] Fast adaptive optimization of weighted vector median filters
    Shen, Yuzhong
    Barner, Kenneth E.
    IEEE TRANSACTIONS ON SIGNAL PROCESSING, 2006, 54 (07) : 2497 - 2510
  • [30] Adaptive weighted median filters by using fuzzy techniques
    Meguro, M
    Taguchi, A
    ISCAS 96: 1996 IEEE INTERNATIONAL SYMPOSIUM ON CIRCUITS AND SYSTEMS - CIRCUITS AND SYSTEMS CONNECTING THE WORLD, VOL 2, 1996, : 9 - 12