3 research outputs found
Image Restoration: A Comparative Analysis of Image De noising Using Different Spatial Filtering Techniques
Acquired images for medical and other purposes can be affected by noise from
both the equipment used in the capturing or the environment. This can have
adverse effect on the information therein. Thus, the need to restore the image
to its original state by removing the noise. To effectively remove such noise,
pre knowledge of the type of noise model present is necessary. This work
explores different noise removal filters by first introducing noise to an image
and then applying different spatial domain filtering techniques to the image to
get rid of the noise. Different evaluation techniques such as Peak to Signal
Noise Ratio(PSNR) and Root Mean Square Error(RMSE) were adopted to determine
how effective each filter is on a given image noise. Result showed that some
filters are more effective on some noise models than others.Comment: 9 pages, 10 figure