最近Heiss–Czedik等人針對數位時間延遲整合彩色濾波器提出了三個適用於工業產品檢測上解馬賽克的方法。在此篇論文中，我們將提出了一個針對數位時間延遲整合彩色濾波器的邊緣感測去馬賽克演算法。此篇論文涵蓋四個主要步驟，分別為〈一〉估計馬賽克圖上每個像素的亮度值，〈二〉精準地擷取出圖上各個像素的梯度資訊，〈三〉利用可調式的異質性映射決定圖上邊紋理的方向走勢，〈四〉植基於邊緣感測概念進行每個像素中缺值的內插估計。在九張測試影像下，實驗結果顯示我們所提出的數位時間延遲整合彩色濾波器去馬賽克演算法與先前所發表的六個去馬賽克演算法相較之下有較好的去馬賽克影像品質。而用以比較的六個方法中，其中有三個方法由Heiss-Czedik等人所提出，一個方法由Laroche及Prescott所提出，一個由Hamilton及Adams所提出，最後一個則為雙向線性內插法。

Currently, based on digital time delay and integration (DTDI) color filter array (CFA) line-scan cameras, Heiss–Czedik et al. presented three efficient demosaicing algorithms for DTDI mosaic images which are suitable for industrial print inspection. In this thesis, a novel edge sensing–based demosaicing algorithm for DTDI mosaic images is presented. Our proposed algorithm mainly consists of four steps, namely, luminance estimation step, step for extracting more accurate gradient information, adaptive heterogeneity projection step for determining edge direction, and edge sensing–based interpolation estimation step. Based on nine real test images, our proposed demosaicing algorithm has better quality performance when compared to the previous six algorithms, three by Heiss–Czedik et al., one by Laroche and Prescott, one by Hamilton and Adams, and the bilinear interpolation.

[1] B. E. Bayer, “Color imaging array,” US Patent, no. 3971 065, 1974.
[2] E. Bodenstorfer, J. F‥urtler, J. Brodersen, K. J. Mayer, C. Eckel, K. Gravogel, and H. Nachtnebel, “High speed line-scan camera with digital time delay integration,” in Proc. of Electronic Imaging Conf. on Real Time Imaging, vol. 6496, pp. 64960I-1– 64960I-10, 2007.
[3] J. F‥urtler, E. Bodenstorfer, K. J. Mayer, J. Brodersen, D. Heiss, H. Penz, C. Eckel, K. Gravogel, and H. Nachtnebel, “High performance camera module for fast quality inspection in industrial printing applications,” in Proc. of Electronic Imaging Conf. on Machine Vision Applications in Industrial Inspection, vol. 6503, pp. 65030J-1– 65030J-12, 2007.
[4] R. Huber-M‥ork, H. Ramoser, H. Penz, K. Mayer, D. Heiss-Czedik, and A. Vrabl, “Region based matching for print process identification,” Pattern Recogn. Lett., vol. 28, no. 15, pp. 2037–2045, 2007.
[5] D. Heiss–Czedik, R. Huber–M‥ork, D. Soukup, H. Penz, and B. L. Garc’ıa, “Demosaicing algorithms for area- and line-scan cameras in print inspection,” J. Vis. Commun. Image R., vol. 20, no. 6, pp. 389–398, 2009.
[6] J. Hamilton and J. Adams, “Adaptive color plane interpolation in single sensor color electronic camera,” US Patent, no. 5, pp. 629–734, 1997.
[7] C. Larocheand and M. Prescott, “Apparatus and method for adaptively interpolating a full color image utilizing chrominance gradients,” US Patent, no. 5, pp. 373–322, 1994.
[8] R. Gonzalez and R. Woods, Digital Image Processing. New York: Addison Wesley, 1992.
[9] K. L. Chung, W. J. Yang, W. M. Yan, and C. C.Wang, “Demosaicing of color filter array captured images using gradient edge detection masks and adaptive heterogeneityprojection,” IEEE Trans. Image Processing, vol. 17, no. 12, pp. 2356–2367, 2008.
[10] R. Lukac, K. Martin, and K. N. Plataniotis, “Demosaicked image postprocessing using local color ratios,” IEEE Trans. Circuits and Systems for Video Technology, vol. 14, No. 6, pp. 914–920, 2004.
[11] W. Lu and Y. P. Tan, “Color filter array demosaicking: New method and performance measures,” IEEE Trans. Image Processing, vol. 12, no. 10, pp. 1194–1210, 2003.