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Image Transmission over Multipath Fading Channel and Image Denoising using Directional Weighted Median Filter

by Veeramma Yatnalli, K L Sudha
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 109 - Number 10
Year of Publication: 2015
Authors: Veeramma Yatnalli, K L Sudha
10.5120/19225-0912

Veeramma Yatnalli, K L Sudha . Image Transmission over Multipath Fading Channel and Image Denoising using Directional Weighted Median Filter. International Journal of Computer Applications. 109, 10 ( January 2015), 18-23. DOI=10.5120/19225-0912

@article{ 10.5120/19225-0912,
author = { Veeramma Yatnalli, K L Sudha },
title = { Image Transmission over Multipath Fading Channel and Image Denoising using Directional Weighted Median Filter },
journal = { International Journal of Computer Applications },
issue_date = { January 2015 },
volume = { 109 },
number = { 10 },
month = { January },
year = { 2015 },
issn = { 0975-8887 },
pages = { 18-23 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume109/number10/19225-0912/ },
doi = { 10.5120/19225-0912 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T22:44:26.445838+05:30
%A Veeramma Yatnalli
%A K L Sudha
%T Image Transmission over Multipath Fading Channel and Image Denoising using Directional Weighted Median Filter
%J International Journal of Computer Applications
%@ 0975-8887
%V 109
%N 10
%P 18-23
%D 2015
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Impulse noise is often introduced into images during transmission contaminating the images due to channel errors. Based on the noise values, impulse noise can be classified as Fixed Valued Impulsive Noise or Salt and Pepper Noise(SPN) and Random Valued Impulsive Noise(RVIN). In this paper, an inpainting algorithm is presented based on Directional Weighted Median(DWM) Filter to denoise both the noises caused due to image transmission over multipath fading channel. The algorithm diffuses median value of pixels from the exterior area into the inner area and thus preserves the edges and fine details. The random valued impulsive noise and salt and pepper noise due to wireless channel modeled are simulated using MATLAB channel objects. The detection algorithm combined with the image correction based on DWMF shows better performance in terms of Peak Signal-to-Noise Ratio(PSNR) and Mean Absolute Error(MAE).

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Index Terms

Computer Science
Information Sciences

Keywords

Inpainting Random Valued Impulsive Noise(RVIN) Salt and Pepper Noise Directional Weighted Median(DWM) PSNR MAE.

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