Literature DB >> 16764279

Geometric and shading correction for images of printed materials using boundary.

Michael S Brown1, Yau-Chat Tsoi.   

Abstract

A novel technique that uses boundary interpolation to correct geometric distortion and shading artifacts present in images of printed materials is presented. Unlike existing techniques, our algorithm can simultaneously correct a variety of geometric distortions, including skew, fold distortion, binder curl, and combinations of these. In addition, the same interpolation framework can be used to estimate the intrinsic illumination component of the distorted image to correct shading artifacts. We detail our algorithm for geometric and shading correction and demonstrate its usefulness on real-world and synthetic data.

Mesh:

Year:  2006        PMID: 16764279     DOI: 10.1109/tip.2006.871082

Source DB:  PubMed          Journal:  IEEE Trans Image Process        ISSN: 1057-7149            Impact factor:   10.856


  1 in total

1.  Machine-learning-based quality-level-estimation system for inspecting steel microstructures.

Authors:  Hiromi Nishiura; Atsushi Miyamoto; Akira Ito; Minoru Harada; Shogo Suzuki; Kouhei Fujii; Hiroshi Morifuji; Hiroyuki Takatsuka
Journal:  Microscopy (Oxf)       Date:  2022-08-01       Impact factor: 2.072

  1 in total

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