Focusing patch: Automatic photorealistic deblurring for facial images by patch-based color transfer

Masahide Kawai, Shigeo Morishima

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Citations (Scopus)

Abstract

Facial image synthesis creates blurred facial images almost without high-frequency components, resulting in flat edges. Moreover, the synthesis process results in inconsistent facial images, such as the conditions where the white part of the eye is tinged with the color of the iris and the nasal cavity is tinged with the skin color. Therefore, we propose a method that can deblur an inconsistent synthesized facial image, including strong blurs created by common image morphing methods, and synthesize photographic quality facial images as clear as an image captured by a camera. Our system uses two original algorithms: patch color transfer and patch-optimized visio-lization. Patch color transfer can normalize facial luminance values with high precision, and patch-optimized visio-lization can synthesize a deblurred, photographic quality facial image. The advantages of our method are that it enables the reconstruction of the high-frequency components (concavo-convex) of human skin and removes strong blurs by employing only the input images used for original image morphing.

Original languageEnglish
Title of host publicationMultiMedia Modeling - 21st International Conference, MMM 2015, Proceedings
EditorsXiangjian He, Dacheng Tao, Muhammad Abul Hasan, Suhuai Luo, Changsheng Xu, Jie Yang
PublisherSpringer Verlag
Pages155-166
Number of pages12
ISBN (Electronic)9783319144443
DOIs
Publication statusPublished - 2015
Event21st International Conference on MultiMedia Modeling, MMM 2015 - Sydney, Australia
Duration: 2015 Jan 52015 Jan 7

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume8935
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Other

Other21st International Conference on MultiMedia Modeling, MMM 2015
CountryAustralia
CitySydney
Period15/1/515/1/7

Keywords

  • Blur
  • Inconsistent facial image
  • Patch color transfer
  • Patchoptimized visio-lization

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)

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  • Cite this

    Kawai, M., & Morishima, S. (2015). Focusing patch: Automatic photorealistic deblurring for facial images by patch-based color transfer. In X. He, D. Tao, M. A. Hasan, S. Luo, C. Xu, & J. Yang (Eds.), MultiMedia Modeling - 21st International Conference, MMM 2015, Proceedings (pp. 155-166). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 8935). Springer Verlag. https://doi.org/10.1007/978-3-319-14445-0_14