Projective geometry and its applications to computer graphics
Projective geometry and its applications to computer graphics
A nonaliasing, real-time spatial transform technique
IEEE Computer Graphics and Applications
Digital image processing (2nd ed.)
Digital image processing (2nd ed.)
Parallel image normalization on a mesh connected array processor
Pattern Recognition
Separable image warping with spatial lookup tables
SIGGRAPH '89 Proceedings of the 16th annual conference on Computer graphics and interactive techniques
Splitting-Shooting Methods for Nonlinear Transformations of Digitized Patterns
IEEE Transactions on Pattern Analysis and Machine Intelligence
Computer graphics: principles and practice (2nd ed.)
Computer graphics: principles and practice (2nd ed.)
Discrete techniques for computer transformations of digital images and patterns
Pattern Recognition
Iterative solution of nonlinear equations in several variables
Iterative solution of nonlinear equations in several variables
IEEE Computer Graphics and Applications
3-D transformations of images in scanline order
SIGGRAPH '80 Proceedings of the 7th annual conference on Computer graphics and interactive techniques
Synthetic texturing using digital filters
SIGGRAPH '80 Proceedings of the 7th annual conference on Computer graphics and interactive techniques
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The splitting-integrating method is a technique developed for the normalization of images by inverse transformation. It does not require solving nonlinear algebraic equations and is much simpler than any existing algorithm for the inverse nonlinear transformation. Moreover, its solutions have a high order of convergence, and the images obtained through T/sup -1/ are free from superfluous holes and blanks, which often occur in transforming digitized images by other approaches. Application of the splitting-integrating method can be extended to supersampling in computer graphics, such as picture transformations by antialiasing, inverse nonlinear mapping, etc.