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Performance Comparison of Various Filters for Denoising Foggy Images

by Shafali Gupta, Lakhwinder Kaur
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 99 - Number 10
Year of Publication: 2014
Authors: Shafali Gupta, Lakhwinder Kaur
10.5120/17412-7996

Shafali Gupta, Lakhwinder Kaur . Performance Comparison of Various Filters for Denoising Foggy Images. International Journal of Computer Applications. 99, 10 ( August 2014), 42-51. DOI=10.5120/17412-7996

@article{ 10.5120/17412-7996,
author = { Shafali Gupta, Lakhwinder Kaur },
title = { Performance Comparison of Various Filters for Denoising Foggy Images },
journal = { International Journal of Computer Applications },
issue_date = { August 2014 },
volume = { 99 },
number = { 10 },
month = { August },
year = { 2014 },
issn = { 0975-8887 },
pages = { 42-51 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume99/number10/17412-7996/ },
doi = { 10.5120/17412-7996 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T22:27:53.117853+05:30
%A Shafali Gupta
%A Lakhwinder Kaur
%T Performance Comparison of Various Filters for Denoising Foggy Images
%J International Journal of Computer Applications
%@ 0975-8887
%V 99
%N 10
%P 42-51
%D 2014
%I Foundation of Computer Science (FCS), NY, USA
Abstract

This paper compares the performance of various filters on the images degraded by the fog. Denoising is vital for the image enhancement. It is difficult to remove the noise from the images while preserving the information and the quality of the image. For analysis filters like Median, Alpha Trim, Lee, Wiener, Anisotropic Diffusion and Guided filter are used. Number of performance metrics exists already in the literature to analyze the performance of denoising filters like SNR (Signal Noise Ratio), MSE (Mean Square Error), NAE (Normalized Absolute Error) and SC (Structural Content). The result demonstrates that the results of filters are not satisfactory. So, recently proposed dark channel prior method is studied and implemented. The visual results of the dark channel method are better than the filters.

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Index Terms

Computer Science
Information Sciences

Keywords

Denoising Median Filter Alpha trim filter Lee filter Wiener Filter Anisotropic diffusion filter Signal to Noise Ratio Structural Content Normalized Absolute Error Mean Square Error Dark Channel Prior Method.

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