Heterogeneity-projection hard-decision color interpolation using spectral-spatial correlation.

Full Abstract

This paper presents a novel heterogeneity-projection hard-decision (HPHD) color interpolation procedure for reproduction of Bayer mosaic images. The proposed algorithm aims to estimate the optimal interpolation direction and perform hard-decision interpolation, in which each pixel only needs to be interpolated once. A new heterogeneity-projection scheme based on a novel spectral-spatial correlation concept is proposed to estimate the best interpolation direction directly from the original mosaic image. Using the proposed heterogeneity-projection scheme, a hard-decision rule can be decided before performing the interpolation. The advantage of this scheme is that it provides an efficient way for decision-based algorithms to generate improved results using fewer computations. Compared with three recently reported demosaicing techniques, Gunturk's, Lu's, and Li's methods, the proposed HPHD outperforms all of them in both PSNR values and S-CIELAB deltaEab measures by utilizing 25 natural images from Kodak PhotoCD.

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Author information

Author/s: Tsai, Chi-Yi (CY); Song, Kai-Tai (KT);

Affiliation: Department of Electrical and Control Engineering, National Chiao-Tung University, Hsinchu 300, Taiwan, R.O.C. chiyi.ece91(-atsign-)nctu.edu.tw

Journal and publication information

Publication Type: Journal Article; Research Support, Non-U.S. Gov't

Journal: IEEE transactions on image processing : a publication of the IEEE Signal Processing Society (IEEE Trans Image Process), published in United States. (Language: eng)

Reference: 2007-Jan; vol 16 (issue 1) : pp 78-91

Dates: Created 2007/02/07; Completed 2007/02/28; Revised 2007/11/15;

PMID: 17283767, status: MEDLINE (last retrieval date: 12/26/2008)

Sourced from the National Library of Medicine. Abstract text and other information may be subject to copyright.

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MeSH headings (categories)

This article was linked to the MESH Headings shown below.

Algorithms
Color
Colorimetry - methods
Image Enhancement - methods
Image Interpretation, Computer-Assisted - methods

Information Storage and Retrieval - methods
Numerical Analysis, Computer-Assisted
Regression Analysis
Signal Processing, Computer-Assisted
Statistics as Topic

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