Demosaicing: Heterogeneity-projection hard-decision adaptive interpolation using spectral-spatial correlation

Chi Yi Tsai*, Kai-Tai Song

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review


A novel heterogeneity-projection hard-decision adaptive interpolation (HPHD-AI) algorithm is proposed in this paper for color reproduction from Bayer mosaic images. The proposed algorithm aims to estimate the optimal interpolation direction and perform hard-decision interpolation, in which the decision is made before interpolation. To do so, a new heterogeneity-projection scheme based on spectral-spatial correlation is proposed to decide the best interpolation direction from the original mosaic image directly. Exploiting the proposed heterogeneity-projection scheme, a hard-decision rule can be designed easily to perform the interpolation. We have compared this technique with three recently proposed demosaicing techniques: Lu's, Gunturk's and Li's methods, by utilizing twenty-five natural images from Kodak PhotoCD. The experimental results show that HPHD-AI outperforms all of them in both PSNR values and S-CIELab ΔE ab ̇ measures.

Original languageEnglish
Title of host publicationDigital Photography II - Proceedings of SPIE-IS and T Electronic Imaging
StatePublished - 17 Apr 2006
EventDigital Photography II - San Jose, CA, United States
Duration: 16 Jan 200617 Jan 2006

Publication series

NameProceedings of SPIE - The International Society for Optical Engineering
ISSN (Print)0277-786X


ConferenceDigital Photography II
CountryUnited States
CitySan Jose, CA


  • Adaptive filtering
  • CFA demosaicing
  • Color artifacts
  • Color reproduction
  • Digital cameras

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