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

Chi Yi Tsai*, Kai-Tai Song

*Corresponding author for this work

研究成果: Article同行評審

39 引文 斯高帕斯(Scopus)


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 ΔE* ab measures by utilizing 25 natural images from Kodak PhotoCD.

頁(從 - 到)78-91
期刊IEEE Transactions on Image Processing
出版狀態Published - 1 二月 2007

指紋 深入研究「Heterogeneity-projection hard-decision color interpolation using spectral-spatial correlation」主題。共同形成了獨特的指紋。