Efficient implementation of accurate geometric transformations for 2-D and 3-D image processing.

Saul R Dooley; Robert W Stewart; Tariq S Durrani; S Kamal Setarehdan; John J Soraghan

doi:10.1109/tip.2004.828438

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Efficient implementation of accurate geometric transformations for 2-D and 3-D image processing.

Saul R Dooley·Robert W Stewart·Tariq S Durrani·S Kamal Setarehdan·John J Soraghan

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Abstract

This paper proposes the use of a polynomial interpolator structure (based on Horner's scheme) which is efficiently realizable in hardware, for high-quality geometric transformation of two- and three-dimensional images. Polynomial-based interpolators such as cubic B-splines and optimal interpolators of shortest support are shown to be exactly implementable in the Horner structure framework. This structure suggests a hardware/software partition which can lead to efficient implementations for multidimensional interpolation.

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Algorithms Data Compression Image Enhancement Image Interpretation, Computer-Assisted Imaging, Three-Dimensional Reproducibility of Results Sensitivity and Specificity Signal Processing, Computer-Assisted Comparative Study Evaluation Study Journal Article Research Support, Non-U.S. Gov't Validation Study

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Saul R Dooley, Robert W Stewart, Tariq S Durrani, S Kamal Setarehdan, John J Soraghan. 2004. Efficient implementation of accurate geometric transformations for 2-D and 3-D image processing.. https://doi.org/10.1109/tip.2004.828438

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