A Survey on Applications of Sampling Operators in Image Processing

Abstract

The objective of this paper is to present a brief study of linear and non-linear cases of univariate and multivariate
Kantorovich sampling operators and their applications to image processing. This kind of operators are very
suitable to study applications to Signal and Image Processing. Image processing through sampling operators
plays a crucial part in the diagnosis of Arterial diseases. The visual and empirical assessment of cardiac structure
and function is an important challenge faced by medical elds and hospitals.