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Gopika. S. Kumar, S. Karthikeyan and N. Ambily
Government Engineering College, Trivandrum, Kerala, Sathyabama University, Chennai, India.
ABSTRACT: In this paper, an attempt is made to de-noise the image using isolation model and a comparison is made between the existing time domain and frequency domain filters based upon their performance analysis, and parametric estimations. An image gets corrupted by various noises during transmission through the channels. One of the noise types that include for image noising is salt and pepper noise. Salt and pepper noise is also known as Impulse noise. The main objective of filter is to remove the impulse noise without affecting the original image. The filters used for de-noising are of two domains, they are time or spatial domain and frequency domain. The time domain filters include mean, median, standard median filter and Decision Based Unsymmetrical Trimmed Median filter (DBUTM). The frequency domain includes the discrete wavelet transform (DWT) using shrinkage rule. The experiment result shows that the isolation algorithm provides better de-noising than the time domain filters and DWT.
KEYWORDS: DBUTM; DWT; frequency domain; Isolation; mean; median; and time domain
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