Abstract | ||
---|---|---|
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. |
Year | DOI | Venue |
---|---|---|
1992 | 10.1109/34.141558 | IEEE Trans. Pattern Anal. Mach. Intell. |
Keywords | Field | DocType |
existing algorithm,inverse nonlinear mapping,normalizing images,splitting-integrating method,picture transformation,digitized image,computer graphics,inverse transformations,high order,inverse nonlinear transformation,nonlinear algebraic equation,inverse transformation,order of convergence,pattern recognition,filtering,speech processing,computer graphic,nonlinear equations,optical filters,nonlinear distortion,convergence,digital image | Computer vision,Inverse,Nonlinear system,Normalization (statistics),Computer science,Image processing,Algorithm,Algebraic equation,Supersampling,Artificial intelligence,Rate of convergence,Nonlinear distortion | Journal |
Volume | Issue | ISSN |
14 | 6 | 0162-8828 |
Citations | PageRank | References |
5 | 0.70 | 11 |
Authors | ||
5 |
Name | Order | Citations | PageRank |
---|---|---|---|
Zi-Cai Li | 1 | 5 | 0.70 |
Ching Y. Suen | 2 | 7569 | 1127.54 |
T. D. Bui | 3 | 78 | 18.52 |
Y. Y. Tang | 4 | 416 | 165.12 |
Q. L. Gu | 5 | 16 | 7.45 |