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完整後設資料紀錄
DC 欄位 | 值 | 語言 |
---|---|---|
dc.contributor.advisor | 傅楸善(Chiou-Shann Fuh) | |
dc.contributor.author | Tsu-Rong Chiang | en |
dc.contributor.author | 江祖榮 | zh_TW |
dc.date.accessioned | 2021-06-08T00:42:59Z | - |
dc.date.copyright | 2015-08-17 | |
dc.date.issued | 2015 | |
dc.date.submitted | 2015-08-14 | |
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Okutomi, “Minimized-Laplacian Residual Interpolation for Color Image Demosaicking”, IS&T/SPIE Electronic Imaging, International Society for Optics and Photonics, 2014. [8] D. Menon and G. Calvagno. “Demosaicing Based on Wavelet Analysis of the Luminance Component,” Proceedings of IEEE International Conference on Image Processing, San Antonio, Texas, Vol. 2, pp. 181–184, 2007. [9] D. R. Cok, “Signal Processing Method and Apparatus for Producing Interpolated Chrominance Values in a Sample Color Image Signal,” United States Patent# 4642678, 1987. [10] E. Dubois, “Frequency Domain Methods for Demosaicking of Bayer Sampled Color Images,” IEEE Signal Processing Letters, Vol. 12, No. 12, pp. 847-850. 2005. 60 [11] Henrique S. Malvar, L. W. He, and R. Cutler, “High-Quality Linear Interpolation for Demosaicing of Bayer-patterned Color Images,” Proceedings of IEEE International Conference on Acoustics, Speech, and Signal Processing. Montreal, Quebec, Canada, Vol. 3, pp. 485-488, 2004. [12] J. 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Parks. “Adaptive Homogeneity-Directed Demosaicing Algorithm,” IEEE Transactions on Image Processing, Vol. 14, No. 3, pp. 360–369, 2005. [18] K. Hirakawa, X. Meng., “A Framework for Wavelet-Based Analysis and Processing of Color Filter Images with Applications to De-noisng and De-mosaicking,” Proceedings of IEEE International Conference on Acoustics, Speech and Signal Processing, Honolulu, Hawaii, Vol. 1, pp. 596-600, 2007. [19] L. Chen, K. H. Yap, and Y. He. “Color Filter Array Demosaicking Using Wavelet-based Sub-band Synthesis,” Proceedings of IEEE International Conference on Image Processing, Genoa, Liguria, Italy, Vol. 2, pp. 1002-1005, 2005. [20] Lei Zhang, “McMaster Dataset”, http://www4.comp.polyu.edu.hk/~cslzhang/COM_Dataset.htm , 2005 61 [21] Mathworks, “Documentation Reference for Function Demosaic”, http://www.mathworks.com/help/vision/ref/demosiac.html , 2015 [22] N. X. Lian, L. L. Chang, and Y. P. 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Kim. “Cost effective color filter array demosaicing using spatial correlation,” IEEE Transactions on Consumer Electronics, Vol. 52, No. 2, pp. 547–554, 2006. [29] W. Lu and Y. P. Tan, “Color Filter Array Demosaicking: New Method and Performance Measures,” IEEE Transactions on Image Processing, Vol. 12, No. 10, pp. 1194-1210, 2003. [30] W. T. Freeman, “Method and Apparatus for Reconstructing Missing Color Samples,” United States Patent# 4774565, 1988. [31] W. Yu, “Color De-Mosaicking Method Using Adaptive Cubic Convolution Interpolation with Sequential Averaging,” IEE Proceedings - Vision, Image and Signal Processing, Vol. 153, Issue 5, pp. 666 – 676, 2006. 62 [32] X. Li and M. Orchard. “New Edge Directed Interpolation,” IEEE Transactions on Image Processing, Vol. 10, No. 10, pp. 1521-1527, 2001. [33] X. Wu and N. Zhang. “Primary-Consistent Soft-Decision Color Demosaicing for Digital Cameras,” IEEE. Transactions on Image Processing, Vol. 13, No. 9, pp. 1263-1274, 2004. | |
dc.identifier.uri | http://tdr.lib.ntu.edu.tw/jspui/handle/123456789/17751 | - |
dc.description.abstract | 近年來,數位相機逐漸普及,也越來越受消費者青睞,普遍被當成日常生活中捕捉影像的一種方式。
基於節省成本和縮小尺寸上的考量,大多數的數位相機使用電荷耦合感光元件或者互補式金屬氧化半導體感光元件來捕捉現實場景中的彩色影像。 然而,單一 CCD 或 CMOS 感光元件無法提供足夠的色彩解析度。而大多數光學廠所採用的解決方案是在感光元件的上面覆蓋一層色彩濾光片,有如規律的馬賽克排列一般(例如:綠、紅、藍、綠)。這種濾光片就是所謂的色彩濾波器陣列。 因為真實場景的每個位置都是彩色的;然而,經過色彩濾波器陣列濾光之後,每個像素就只剩下濾波器相對應位置的顏色,丟失了三原色中的另外兩個顏色。因此,我們必須從適當鄰域中的像素點計算局部的紋理、色彩特性,進而重建出近似真實場景的彩色影像。上述這種從原始資料重建回彩色影像的過程就是所謂的色彩插補或者去馬賽克演算法。 我們基於殘餘色彩插補演算法的精神提出改良,在這篇論文中,提出一個色彩插補演算法 CFAIAAR,我們比較了五種不同的色彩插補演算法,我們發現,CFAIAAR 不僅保持更清晰的邊緣、細緻紋理細節,還能有效的移除假色、摩爾波紋、和迷宮紋理。 | zh_TW |
dc.description.abstract | Recently, the digital still cameras (DSCs) are popular with consumers as a device to capture digital images easily.
For cost and size consideration, most DSCs and industrial cameras use Charge-Coupled Device (CCD) or Complementary Metal-Oxide-Semiconductor (CMOS) sensor to capture the varied colors in a scene with a single sensor chip. However, the single CCD or CMOS sensor does not provide sufficient color resolutions. The solution for most DSC designers is to cover the sensor’s surface with a mosaic of colored filters: Color Filter Array (CFA). Since there is only one color array element in each pixel, the other two missing color elements must be estimated. Thus, the recovery of full color images from CFA-based sensors requires a process of estimating values of missing color elements at each pixel by its adjacent pixels. This reconstruction process of a full color image from a color mosaic is commonly called color interpolation or color de-mosaicking algorithm. In this thesis, a de-mosaicking technique is proposed to interpolate three color channels (Red, Green, and Blue) using Residual Interpolation and embedded artifact removal method based on median filter. We have compared this new approach to five different methods, and our method can not only outstandingly preserve more edge details and handle fine textures well but also remove most color alias, Moiré pattern, and maze pattern. | en |
dc.description.provenance | Made available in DSpace on 2021-06-08T00:42:59Z (GMT). No. of bitstreams: 1 ntu-104-R02922085-1.pdf: 8331514 bytes, checksum: dd52e19bd52127c5cde4c0c2a656cd6a (MD5) Previous issue date: 2015 | en |
dc.description.tableofcontents | 目 錄
口試委員會審定書…………………………………………………………… ii 誌謝……………………………………………………………………………. iii 中文摘要……………………………………………………………………… iv 英文摘要………………………………………………………………………. v 第 一章 Intro d uc tio n…………………………………………………….1 1.1 Background ………………………………………………………… 1 1.2 Basic Concept of Interpolation…………………………………...…… 2 1.3 Previews………………………………………………………….….……3 1.4 Orgranization……………………………………………………….….….3 第二章 Brief Review of Traditional Image Interpolation Techniques….. 4 2.1 Introduction of Traditional Techniques……………………………… 4 2.2 Sequential Demosaicing Interpolation……………………………… 4 2.3 Post-Processing and Refinement Techniques …………………… 8 2.4 Discussion and Summary of Traditional Techniques………………..……..10 第三章 Proposed Color Interpolation Algorithm……………………….. 17 3.1 Introduction of Proposed Color Interpolation Algorithm…………… 17 3.2 Sequential Demosaicing Interpolation……………………………… 18 3.3 Post-Processing and Refinement Techniques…………………… 19 3.4 Discussion and Summary of Traditional Techniques………………..……..20 第四章 Exp erimental Res ults ……………………………………….. 22 4.1 S imulatio n o f Co lo r F ilter Array Interpolation…………… 22 4.2 Ob jec tive Benc hmark Scoring Results and Comparisons ……53 第五章 Conslusion and Future Work……………………………………….. 56 5 . 1 C o n c lu s io n … … … … … … … … … … … … … … … … … . . . 5 6 5 . 2 F u t u r e W o r k … … … … … … … … … … … … … ………………57 vii 參考文獻………………………………………………………………….…… 59 | |
dc.language.iso | en | |
dc.title | 具有瑕疵移除能力的彩色濾波器陣列
插補演算法 | zh_TW |
dc.title | Color Filter Array Interpolation Algorithm
with Artifact Removal | en |
dc.type | Thesis | |
dc.date.schoolyear | 103-2 | |
dc.description.degree | 碩士 | |
dc.contributor.oralexamcommittee | 李昌鴻(Chang-Hong Li),鄭文欽(Wen-Qin Zheng) | |
dc.subject.keyword | 色彩濾波器陣列插補演算法,殘餘色彩插補演算法,假色移除,摩爾波紋移除,迷宮紋理移除, | zh_TW |
dc.subject.keyword | color filter array interpolation,residual interpolation,color alias removal,Moire pattern removal,maze pattern removal,adaptive median filter, | en |
dc.relation.page | 62 | |
dc.rights.note | 未授權 | |
dc.date.accepted | 2015-08-14 | |
dc.contributor.author-college | 電機資訊學院 | zh_TW |
dc.contributor.author-dept | 資訊工程學研究所 | zh_TW |
顯示於系所單位: | 資訊工程學系 |
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