Impulse Noise Suppression through Variable Window Size in Color Images

2021 ◽  
Author(s):  
Ashpreet ◽  
Mantosh Biswas
Keyword(s):  
Impulse Noise ◽  
Noise Suppression ◽  
Window Size ◽  
Color Images ◽  
Variable Window

Impulse Noise Suppression Method by Median Filtering with Parity Extraction

2013 ◽  
Vol 846-847 ◽  
pp. 991-994
Author(s):  
Zhen Xing Li
Keyword(s):  
Impulse Noise ◽  
Noise Suppression ◽  
Median Filter ◽  
Window Size ◽  
New Method ◽  
Median Filtering ◽  
Experiment Data ◽  
Simulation And Experiment ◽  
Suppression Method

A new impulse noise suppression method by median filtering with parity extraction was proposed in this paper. The window size of the median filter has important effect on the performance of the filtering result, larger window size can suppress impulse noise effectively but often at cost of loss of the detail information of the signal, while smaller window size can protect the detail information better but results in degrading of the noise suppression. Parity extraction is done to the signal at first and median filtering carries on the odd and even part respectively, and then a new method of median filtering with short window size to suppress the impulse noise is obtained. Simulation and experiment data of telemetry process results show the effectiveness of the proposed method.

FPGA implementation of an adaptive window size image impulse noise suppression system

2017 ◽  
Vol 16 (6) ◽  
pp. 2015-2026 ◽  
Author(s):  
Parham Taghinia Jelodari ◽  
Mojtaba Parsa Kordasiabi ◽  
Samad Sheikhaei ◽  
Behjat Forouzandeh
Keyword(s):  
Impulse Noise ◽  
Noise Suppression ◽  
Window Size ◽  
Fpga Implementation ◽  
Adaptive Window ◽  
Suppression System

Impulse Noise Suppression Method for Telemetry Signal by Multi-Scale Median Filtering

2014 ◽  
Vol 989-994 ◽  
pp. 3726-3729
Author(s):  
Xiu Fang Liu
Keyword(s):  
Wavelet Transform ◽  
Wavelet Decomposition ◽  
Impulse Noise ◽  
Noise Suppression ◽  
Window Size ◽  
Frequency Domain Analysis ◽  
Median Filtering ◽  
Multi Scale ◽  
Filtering Technique ◽  
Suppression Method

The telemetry signal is often interfered with impulse noise, which results in difficulty in time domain and frequency domain analysis results. Hereby a new impulse noise suppression method based on wavelet transform and median filtering technique was proposed. The received signal is decomposed into detailed components and approximate components, and then the median filtering is carried on the wavelet decomposition components with vary filtering window size according to the wavelet transform scale respectively. This method can suppress the impulse noise effectively and keep the detail information of the signal from the loss at the same time. The simulation and experimental results prove the effectiveness of the method.

scholarly journals A NEW DENOISING APPROACH FOR THE REMOVAL OF IMPULSE NOISE FROM COLOR IMAGES AND VIDEO SEQUENCES

2012 ◽  
Vol 31 (3) ◽  
pp. 185 ◽  
Author(s):  
Rajamani Arumugham ◽  
Krishnaveni Vellingiri ◽  
Wassim Ferose Habeebrakuman ◽  
Kalaikamal Mohan
Keyword(s):  
Impulse Noise ◽  
Visual Quality ◽  
Color Images ◽  
Video Sequences ◽  
Computational Time ◽  
Sorting Algorithm ◽  
Salt And Pepper Noise ◽  
Video Signals ◽  
Salt And Pepper

In this paper a novel Lone Diagonal Sorting (LDS) algorithm for denoising color images and videos co-rrupted with salt and pepper noise is proposed. The proposed lone diagonal sorting algorithm uses diagonal sorting alone for denoising of impulse noise. The algorithm has been implemented and tested for various color images and video signals and appreciable performance in terms of PSNR, MSE and SSIM is obtained. Our algorithm has been compared with other standard algorithms. A drastic improvement in the computational time has been achieved without compromising much on the visual quality after reconstruction.

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