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Performance Comparison of Various Filters for Denoising Foggy Images

International Journal of Computer Applications
© 2014 by IJCA Journal
Volume 99 - Number 10
Year of Publication: 2014
Shafali Gupta
Lakhwinder Kaur

Shafali Gupta and Lakhwinder Kaur. Article: Performance Comparison of Various Filters for Denoising Foggy Images. International Journal of Computer Applications 99(10):42-51, August 2014. Full text available. BibTeX

	author = {Shafali Gupta and Lakhwinder Kaur},
	title = {Article: Performance Comparison of Various Filters for Denoising Foggy Images},
	journal = {International Journal of Computer Applications},
	year = {2014},
	volume = {99},
	number = {10},
	pages = {42-51},
	month = {August},
	note = {Full text available}


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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