Title
Splitting-Integrating Method for Normalizing Images by Inverse Transformations
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 Li150.70
Ching Y. Suen275691127.54
T. D. Bui37818.52
Y. Y. Tang4416165.12
Q. L. Gu5167.45