Abstract
This paper includes a methodical way to suppress impulse noise in digital images using the concept of popular Hermite interpolation. Hermite interpolator is a spline where each piece is a third-degree polynomial specified in Hermite form by its values and first derivatives at the end points of the corresponding domain interval. Our proposed technique is mostly divided into two phases: (a) noise cancellation and (b) edge preservation. The principle of Hermite interpolation has been applied in edge preservation process. Computational outcomes of this approach give out up to 90 % of impulse noise suppression.
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Satpathy, S., Mohanty, F., Pattnaik, P.K. (2016). Suppression of Impulse Noise in Digital Images Using Hermite Interpolation. In: Satapathy, S., Raju, K., Mandal, J., Bhateja, V. (eds) Proceedings of the Second International Conference on Computer and Communication Technologies. Advances in Intelligent Systems and Computing, vol 380. Springer, New Delhi. https://doi.org/10.1007/978-81-322-2523-2_23
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DOI: https://doi.org/10.1007/978-81-322-2523-2_23
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