Fast global shift estimation is a critical preprocessing step on many high level tasks such as remote sensing or medical imaging. In this work we deal with a simple question: should we use an iterative technique to perform shift estimation or should we use a multiscale approach. Based on the obtained results, both methodologies proved to lose accuracy as the noise increases, however this accuracy loss increases with the shift magnitude. The conclusion is that a multiscale strategy should be used when the shift magnitude is higher than approximately a fifth of a pixel.
CITATION STYLE
Rais, M., Morel, J. M., & Facciolo, G. (2015). Iterative gradient-based shift estimation: To multiscale or not to multiscale? In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 9423, pp. 416–423). Springer Verlag. https://doi.org/10.1007/978-3-319-25751-8_50
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