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Journal of Applied Sciences
  Year: 2014 | Volume: 14 | Issue: 9 | Page No.: 950-954
DOI: 10.3923/jas.2014.950.954
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Salt and Pepper Noise Removal Algorithm by Novel Morpho Filter

K. Priya and D. Pugazhenthi

In this study, a new decision based morpho filter is proposed for denoising images that are highly corrupted images by salt and pepper noise. The main problem of de-noising is how to keep the poise between degrading image noise and preserving image edge information. Hence, the main aim is to construct a de-noising algorithm which not only eliminate the noises but also preserves image edge information. The algorithm replaces the noisy pixels by morphological operations. Experiments are carried out on benchmark images such as Lena, Barbara, Baboon and peppers. A competitive denoising is achieved in comparison with Standard Median Filter (SMF), Adaptive Median Filter (AMF) and Decision Based Algorithm (DBA).
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  •    A Case Study of Impulse Noise Reduction Using Morphological Image Processing with Structuring Elements
How to cite this article:

K. Priya and D. Pugazhenthi, 2014. Salt and Pepper Noise Removal Algorithm by Novel Morpho Filter. Journal of Applied Sciences, 14: 950-954.

DOI: 10.3923/jas.2014.950.954






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