Nonlinear shape restoration for document images

Yun Weng, Qiuming Zhu

Research output: Contribution to journalConference article

7 Scopus citations

Abstract

Previous researches on nonlinear shape restoration are based on the assumptions that the original shapes and distortions of the images have known formulations under certain conditions. The main contribution of this research is the development of a new restoration algorithm, called Multi-Steps Restoration. The algorithm is based on a liner interpolation theory that is able to detect and restore nonlinear shape distortions in any irregular quadrilateral-shaped patterns. The main idea of the algorithm is the use of two-dimensional spline functions in bicubic, biquadratic, and/or bilinear models to approximate the three-dimensional nonlinear distortion curves. The performance of the approach shown by experiment is promising.

Original languageEnglish (US)
Pages (from-to)568-573
Number of pages6
JournalProceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition
StatePublished - 1996
EventProceedings of the 1996 IEEE Computer Society Conference on Computer Vision and Pattern Recognition - San Francisco, CA, USA
Duration: Jun 18 1996Jun 20 1996

ASJC Scopus subject areas

  • Software
  • Computer Vision and Pattern Recognition

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