Gaussian noise reduction in digital images using a modified fuzzy filter
| Autor: | Mohammad Shorif Uddin, Tanzila Rahman, Liton Jude Rozario, Mohammad Reduanul Haque |
|---|---|
| Rok vydání: | 2014 |
| Předmět: |
Noise measurement
Computer science Noise (signal processing) business.industry Gaussian Matched filter Noise reduction Salt-and-pepper noise Pattern recognition Impulse (physics) Impulse noise Gaussian filter Gradient noise Digital image symbols.namesake Dark-frame subtraction Colors of noise Gaussian noise Median filter symbols Image noise Computer vision Value noise Artificial intelligence business |
| Zdroj: | 2014 17th International Conference on Computer and Information Technology (ICCIT). |
| DOI: | 10.1109/iccitechn.2014.7073143 |
| Popis: | Noise can be easily induced in images during acquisition and transmission. Therefore, it is a basic requirement to remove noise from an image while keeping its features intact for better understanding and recognition. Gaussian and impulse are two very common types of noise. Tremendous research initiatives are being taken for removing these noises. Previously, we developed a fuzzy filter that effectively removes high density impulse noise in images. In this paper, we proposed a modified fuzzy filter for reduction of Gaussian noise. Experimental result confirms the superiority of the proposed method compared to the conventional filters in terms of both denoising and details preservation. |
| Databáze: | OpenAIRE |
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