Efficient implementation of accurate geometric transformations for 2-D and 3-D image processing.
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.
Philips Research Laboratories, Redhill, Surrey, RH5 1HA, UK. saul.dooley@philips.com
Saul R
SR
Dooley
Robert W
RW
Stewart
Tariq S
TS
Durrani
S Kamal
SK
Setarehdan
John J
JJ
Soraghan
D000465:Algorithms; D044962:Data Compression / Q000379:methods*; D007089:Image Enhancement / Q000379:methods*; D007090:Image Interpretation, Computer-Assisted / Q000379:methods*; D021621:Imaging, Three-Dimensional / Q000379:methods*; D015203:Reproducibility of Results; D012680:Sensitivity and Specificity; D012815:Signal Processing, Computer-Assisted