Adaptive weighed vector median filter for color image

2001 ◽  
Author(s):  
Mingzhong Lu ◽  
Cheng Liang ◽  
Dunyue Gao ◽  
Yu Zhu
Keyword(s):  
Color Image ◽  
Median Filter ◽  
Vector Median

scholarly journals Decision-Based Marginal Total Variation Diffusion for Impulsive Noise Removal in Color Images

2017 ◽  
Vol 2017 ◽  
pp. 1-18
Author(s):  
Hongyao Deng ◽  
Qingxin Zhu ◽  
Xiuli Song
Keyword(s):  
Total Variation ◽  
Color Image ◽  
Impulsive Noise ◽  
Median Filter ◽  
Noise Removal ◽  
Color Images ◽  
Natural Image ◽  
Noise Characteristics ◽  
Switching Median Filter ◽  
Vector Median

Impulsive noise removal for color images usually employs vector median filter, switching median filter, the total variation L1 method, and variants. These approaches, however, often introduce excessive smoothing and can result in extensive visual feature blurring and thus are suitable only for images with low density noise. A marginal method to reduce impulsive noise is proposed in this paper that overcomes this limitation that is based on the following facts: (i) each channel in a color image is contaminated independently, and contaminative components are independent and identically distributed; (ii) in a natural image the gradients of different components of a pixel are similar to one another. This method divides components into different categories based on different noise characteristics. If an image is corrupted by salt-and-pepper noise, the components are divided into the corrupted and the noise-free components; if the image is corrupted by random-valued impulses, the components are divided into the corrupted, noise-free, and the possibly corrupted components. Components falling into different categories are processed differently. If a component is corrupted, modified total variation diffusion is applied; if it is possibly corrupted, scaled total variation diffusion is applied; otherwise, the component is left unchanged. Simulation results demonstrate its effectiveness.

scholarly journals Vector Directional Distance Rational Hybrid Filters for Color Image Restoration

2005 ◽  
Vol 2 (1) ◽  
pp. 1 ◽  
Author(s):  
L. Khriji
Keyword(s):  
Image Processing ◽  
Color Image ◽  
Median Filter ◽  
Rational Functions ◽  
Nonlinear Filters ◽  
New Class ◽  
Directional Filters ◽  
Filter Output ◽  
Vector Median ◽  
Hybrid Filters

A new class of nonlinear filters, called vector-directional distance rational hybrid filters (VDDRHF) for multispectral image processing, is introduced and applied to color image-filtering problems. These filters are based on rational functions (RF). The VDDRHF filter is a two-stage filter, which exploits the features of the vector directional distance filter (VDDF), the center weighted vector directional distance filter (CWVDDF) and those of the rational operator. The filter output is a result of vector rational function (VRF) operating on the output of three sub-functions. Two vector directional distance (VDDF) filters and one center weighted vector directional distance filter (CWVDDF) are proposed to be used in the first stage due to their desirable properties, such as, noise attenuation, chromaticity retention, and edges and details preservation. Experimental results show that the new VDDRHF outperforms a number of widely known nonlinear filters for multi-spectral image processing such as the vector median filter (VMF), the generalized vector directional filters (GVDF) and distance directional filters (DDF) with respect to all criteria used. 

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