Truncation Error in Image Interpolation
Résumé
Interpolation is a fundamental issue in image processing.
In this short paper, we communicate ongoing results
concerning the accuracy of two landmark approaches: the
Shannon expansion and the Discrete Fourier Transform (DFT)
interpolation. Among all sources of error, we focus on the impact
of spatial truncation. Our estimations are expressed in the form
of upper bounds on the Root Mean Squared Error as a function
of the distance to the image border. The quality of these bounds
is appraised through experiments driven on natural images.