International Journal of Computer
Trends and Technology

Research Article | Open Access | Download PDF

Volume 17 | Number 1 | Year 2014 | Article Id. IJCTT-V17P123 | DOI : https://doi.org/10.14445/22312803/IJCTT-V17P123

Analytical Comparison of Noise Reduction Filters for Image Restoration Using SNR Estimation

Poorna Banerjee Dasgupta

Citation :

Poorna Banerjee Dasgupta, "Analytical Comparison of Noise Reduction Filters for Image Restoration Using SNR Estimation," International Journal of Computer Trends and Technology (IJCTT), vol. 17, no. 1, pp. 121-124, 2014. Crossref, https://doi.org/10.14445/22312803/IJCTT-V17P123

Abstract

Noise removal from images is a part of image restoration in which we try to reconstruct or recover an image that has been degraded by using a priori knowledge of the degradation phenomenon. Noises present in images can be of various types with their characteristic Probability Distribution Functions (PDF). Noise removal techniques depend on the kind of noise present in the image rather than on the image itself. This paper explores the effects of applying noise reduction filters having similar properties on noisy images with emphasis on Signal-to-Noise-Ratio (SNR) value estimation for comparing the results.

Keywords

Noise, Image filters, Probability Distribution Function (PDF), Signal-to-Noise-Ratio (SNR).

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