Splitting-integrating method for normalizing images by inverse transformations

Author

Li, Z.C. ; Suen, C.Y. ; Bui, T.D. ; Tang, Y.Y. ; Gu, Q.L.

Author_Institution

Dept. of Comput. Sci., Concordia Univ., Montreal, Que., Canada

Volume

14

Issue

6

fYear

1992

fDate

6/1/1992 12:00:00 AM

Firstpage

678

Lastpage

686

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^-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

Keywords

convergence; picture processing; antialiasing; convergence; images normalisation; inverse nonlinear mapping; inverse transformations; picture processing; picture transformations; splitting-integrating method; Filtering; Image converters; Nonlinear distortion; Nonlinear equations; Optical filters; Optical noise; Pattern recognition; Predistortion; Signal processing algorithms; Speech processing;

fLanguage

English

Journal_Title

Pattern Analysis and Machine Intelligence, IEEE Transactions on

Publisher

ieee

ISSN

0162-8828

Type

jour

DOI

10.1109/34.141558

Filename

141558