Paper
8 April 1983 Two-Pass Warp Algorithm For Hardware Implementation
Michael Shantz
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Abstract
A common requirement in remote sensing and cartography applications is that of warping an image to register with a reference image. A second order polynomial coordinate transformation on two-dimensional images embodies translation, rotation, scaling, and several types of warping. To perform this operation efficiently and with minimal hardware, the transformation is separated into a line operation followed by a column operation. These two transformations are computed using a least square fit algorithm. Resampling with bilinear or cubic convolution interpolation is also separable into the two-pass technique. This algorithm is suitable for hardware implementation of current image processing systems.
© (1983) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Michael Shantz "Two-Pass Warp Algorithm For Hardware Implementation", Proc. SPIE 0367, Processing and Display of Three-Dimensional Data, (8 April 1983); https://doi.org/10.1117/12.934315
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Cited by 5 scholarly publications.
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KEYWORDS
Convolution

Surgery

Transform theory

Image processing

Remote sensing

3D displays

Adaptive optics

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