Implementation of Order Statistic Filters on Digital Image and OCT Image: A Comparative Study
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International Journal of Modern Engineering Research (IJMER)
Abstract
Optical Coherence Tomography (OCT)
technology introduces speckle, an insidious form of
multiplicative noise which degrades the quality of OCT
images. In this paper order statistics filters like Mean,
Median, Min, Max and Alpha Trimmed Mean are
implemented on digital image and OCT images. The
images were tested with two different mask sizes of 5*5
and 7*7. The objective evaluation of both the types of
images was performed using various image metrics like
peak signal to noise ratio, root mean square error and image
quality index. However, the existing algorithms proved to
be effective for digital images and not for OCT images.
