title: Heterogeneity-projection hard-decision color interpolation using spectral-spatial correlation.
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.
authors.affiliation: Department of Electrical and Control Engineering, National Chiao-Tung University, Hsinchu 300, Taiwan, R.O.C. chiyi.ece91@nctu.edu.tw
authors.forename: Chi-Yi
authors.initials: CY
authors.lastname: Tsai
authors.forename: Kai-Tai
authors.initials: KT
authors.lastname: Song
mesh_terms: D000465:Algorithms; D003116:Color; D003124:Colorimetry / Q000379:methods*; D007089:Image Enhancement / Q000379:methods*; D007090:Image Interpretation, Computer-Assisted / Q000379:methods*; D016247:Information Storage and Retrieval / Q000379:methods*; D009716:Numerical Analysis, Computer-Assisted; D012044:Regression Analysis; D012815:Signal Processing, Computer-Assisted; D013223:Statistics as Topic