Preliminary Quantitative Analysis of Digital Image Resampling Methods Applicable to Different Types of Geometric Shapes

• Carlos Eduardo Falandes INPE / FATEC
• Fabrício Galende Marques de Carvalho INPE / FATEC

DOI: https://doi.org/10.5753/erigo.2023.237355

Abstract

This paper deals with preliminary quantitative and qualitative analysis of classical image resampling methods, such as nearest neighbor, bilinear, and bicubic interpolation. The evaluation, which was performed, focuses on how these methods impact geometric shape contours' quality after image resampling is performed. This analysis is motivated by the fact that the loss of image contour quality can significantly affect pattern matching, which is done during a typical image registration process. All methods were analyzed using Peak Signal-to-Noise Ratio, Mean Square Error, and Correlation Coefficient metrics.

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