Recently, systems of real-time intellectual processing of television images have been developing intensively. There arespecial requirements for modern computational imaging systems for accuracy due to the high variability of the workingscene, the heterogeneity of objects, and interference. The process of digital images processing in a priori unknownobservation conditions significantly complicates the presence of impulse noise due to various factors, such as defects inthe recording system, as well as environmental influences. One of the trends in modern information technologies is thedevelopment of highly efficient and computational methods for image filtering. The most filtering methods andalgorithms are required a priori knowledge of the characteristics of distorting interference. In practice, in most cases,such information is missing or approximate. Currently, one of the urgent tasks of image processing is the problem of theobjects contour detection in the presence of various interference. This paper considers the new real-time algorithm forspatial images filtering using spline approximation in the case of impulse noise. Mathematical modeling of the proposedapproaches was carried out, and their advantages were shown. The results of testing the proposed methods on the testdatabase of images in comparison with known methods are presented.
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