Impulse Noise Detection and Removal Method Based on Modified Weighted Median

2020 ◽  
Vol 8 (2) ◽  
pp. 38-53
Author(s):  
Ashpreet ◽  
Mantosh Biswas
Keyword(s):  
Impulse Noise ◽  
Noise Suppression ◽  
Extreme Values ◽  
Median Filter ◽  
Noise Removal ◽  
Filter Method ◽  
Noise Detection ◽  
Median Filters ◽  
Removal Method ◽  
Weighted Median

Impulse noise generally occurs because of bit errors in progression of image acquisition and transmission. It is well known that median filtering method is an impulse noise removal method. Lots of modified median filters have been proposed in the last decades to improve the methods for noise suppression and detail preservation, which have their own deficiencies while identifying and restoring noise pixels. In this article, after deeply analyzing the reasons, such as decreased noise detection and noise removal accuracy that forms the basis of the deficiencies, this article proposes a modified weighted median filter method for color images corrupted by salt-and-pepper noise. In this method, a pixel is classified into either “noise free pixel” or “noise pixel” by checking the center pixel in the current filtering window with the extreme values (0 or 255) for an 8-bit image using noise detection step. Directional differences and the number of “good” pixels in the current filtering window modify the detected noise pixels. Simulation effects on considered test images reveal the proposed method to be improved over state-of-the-art de-noising methods in terms of PSNR and SSIM with pictorial comparative analysis.

Decision Based Median Filter algorithm using Resource Optimized FPGA to Extract Impulse Noise

2014 ◽  
Vol 3 (1) ◽  
pp. 1
Author(s):  
Rutuja Nandkumar Kulkarni ◽  
Pradip C Bhaskar
Keyword(s):  
Impulse Noise ◽  
Median Filter ◽  
Noise Removal ◽  
Mean Value ◽  
Linear Filter ◽  
Noise Detection ◽  
Object Boundary ◽  
Typical Application ◽  
Impulse Noise Removal ◽  
Noisy Pixel

Median filter is a non-linear filter used in image processing for impulse noise removal. It finds its typical application in the situations where edges are to be preserved for higher level operations like segmentation, object recognition etc. This paper presents an accurate and efficient noise detection and filtering algorithm for impulse noise removal. The algorithm includes two stages: noise detection followed by noise filtering. The proposed algorithm replaces the noisy pixel by using  median value when other pixel values, 0’s or 255’s are present in the selected window and when all the pixel values are 0’s and 255’s then the noise pixel is replaced by mean value of all the elements present in the selected window. Similarly algorithm checks for five different conditions to preserve image details, object boundary in high level of noise densities. This median filter was designed, simulated and synthesized on the Xilinx family of FPGAs (XC3S500E of Spartan-3E). The VHDL was used to design the above 2-D median filter using ISE (Xilinx) tool & tested & compared for different grayscale images.

Adaptive Partition-Cluster-Based Median Filter for Random-Valued Impulse Noise Removal

2018 ◽  
Vol 27 (07) ◽  
pp. 1850110
Author(s):  
Ke Pang ◽  
Zaifeng Shi ◽  
Jiangtao Xu ◽  
Suying Yao
Keyword(s):  
Impulse Noise ◽  
Parallel Implementation ◽  
Median Filter ◽  
Noise Removal ◽  
Noise Detection ◽  
Computation Complexity ◽  
Noise Filter ◽  
The Arts ◽  
Objective Quality ◽  
Significant Attention

As the most popular nonlinear denoise technique, the median filter has attracted significant attention in recent years. In this paper, a novel adaptive median filter is presented to remove random-valued impulse noise in images, named Adaptive Partition-Cluster-Based Median (APCM) Filter. Based on the partition cluster idea, the noise detector classifies pixels into different groups and identifies the noisy pixels in different regions adaptively without iterations. According to the results of noise detection, an improved adaptive decision-based filter is presented to restore the pixels which are corrupted by random-valued impulse noise. The proposed filter technique is open to any impulse noise. Extensive simulation results demonstrate that the proposed method substantially outperforms other state-of-the-arts impulse noise filter techniques both visually and in terms of objective quality measures. Furthermore, the proposed method is much friendly to the hardware parallel implementation of image processing because of its low computation complexity and simple realizable structure.

scholarly journals Design of Decision Based Recursive Weighted Median Filter With Exponential Weights

2021 ◽  
Vol 2089 (1) ◽  
pp. 012016
Author(s):  
Motepalli Siva Rama Ganesh ◽  
Kalyan Sagar Kadali ◽  
Ramu Bhukya ◽  
Y.T.R. Palleswari ◽  
Asapu Siva ◽  
...  
Keyword(s):  
Impulse Noise ◽  
Median Filter ◽  
Mean Square ◽  
Noise Levels ◽  
Exponential Weights ◽  
High Noise ◽  
Median Filters ◽  
Weighted Median ◽  
Weighted Median Filter ◽  
Image Details

Abstract The prescribed algorithm for removing impulse noise effectively even under high noise densities without causing any loss of image details. Hence a cascaded section of median filters that, involves an Decision-based Median Filter followed by a Recursive Weighted Median (RWM) Filter employing exponential weights are used. The median controlled algorithm is employed to calculate the exponential weights. In the algorithms that where proposed in earlier which involves a cascaded section of the median with the RWM filters provided lesser Peak Signal/Noise Ratio (PSNR) and greater Mean Square Error(MSE) values. Hence the output appeared to be distorted for higher noise levels. These drawbacks have been eliminated in this proposed algorithm.

Fuzzy Based Directional Weighted Median Filter for Impulse Noise Detection and Reduction

2012 ◽  
Vol 4 (4) ◽  
pp. 351-369 ◽  
Author(s):  
Riji R ◽  
Keerthi A S Pillai ◽  
Madhu S. Nair ◽  
M. Wilscy
Keyword(s):  
Impulse Noise ◽  
Median Filter ◽  
Noise Detection ◽  
Weighted Median ◽  
Weighted Median Filter ◽  
Impulse Noise Detection

scholarly journals Mid Point Weighted Median Filter for Noise Removal and Smoothening of Images

2019 ◽  
Vol 8 (4) ◽  
pp. 8061-8067
Keyword(s):  
Noise Reduction ◽  
Experimental Work ◽  
Basic Concept ◽  
Impulsive Noise ◽  
Median Filter ◽  
Noise Removal ◽  
Median Filters ◽  
Weighted Median ◽  
Weighted Median Filter

In this paper, a Weighted Median Filter (WMF) mainly Mid-Point WMF (MP WMF) is used to smoothen the images or to remove the impulsive noise present in the input images. It is an improvised version of the median filter. This weighted filter uses the basic concept of the median filter with the enhancement in their mask from normalized mask to the weighted mask. In this weighted median filter, the weight-age is giving to the mid-point pixel i.e. centre pixels or its neighbouring pixels by increasing the repetition of those pixels so that the weight of those mid-point pixel and neighbour pixels get increased. It is shown that the weighted median filter performs more accurately than the normal median filter. Some relationship between MP WMF and other two Four Neighbouring (N4) and Diagonal Neighbouring (ND) Weighted Median Filter are derived. Experimental work has demonstrated that the MP WMF outperform very well than the standard median filters in terms of their noise reduction and in smoothening the image. The proposed MP WMF also provides very good robustness for impulsive noise.

Sign in / Sign up

Export Citation Format

Share Document