Interpolation tool: Qualitative and quantitative analysis for machine vision applications

Abstract

Interpolation tool plays a vital role in estimating missing values. This classical problem aims to preserve the structural information-edges and textures, in the resultant image. In this process of developing a continuous function, distractions such as blur, noise or other artifacts should not be entertained. This paper provides an overview of commonly used interpolation algorithms. Comparative discussions are presented in this paper. This paper is focusing choice of interpolation for specific applications. Interpolation is applied in numerous fields like remote sensing, medical diagnosis, agriculture, geology, etc. Choosing appropriate interpolation is practically a rigorous study and it is the primary need for this analysis.