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完整後設資料紀錄
DC 欄位 | 值 | 語言 |
---|---|---|
dc.contributor.advisor | 貝蘇章(Soo-Chang Pei) | |
dc.contributor.author | Jia-Yi Lin | en |
dc.contributor.author | 林佳怡 | zh_TW |
dc.date.accessioned | 2021-06-13T06:54:53Z | - |
dc.date.available | 2021-07-20 | |
dc.date.copyright | 2011-07-27 | |
dc.date.issued | 2011 | |
dc.date.submitted | 2011-07-22 | |
dc.identifier.citation | [1] K. Parulski and K. E. Spaulding, “Color image processing for digital cameras,” in Digital Color Imaging Handbook, (eds.) G. Sharma, CRC Press, Boca Raton, FL., pp. 728-757, 2002.
[2] Charge-coupled Device (CCD): http://hanyu.iciba.com/wiki/71782.shtml [3] B. K. Gunturk, Y. Altunbasak and R. M. Mersereau, “Color plane interpolation using alternating projections,” IEEE Transactions on Image Processing, vol.11, no.9, 2002. [4] L. Chen, K.-H. Yap, Y. He, “Subband synthesis for color filter array demosaicking,” IEEE Trans. Systems, Man, and Cybernetics—Part A: Systems and Humans, vol. 38, no. 2, pp. 485-492, March 2008. [5] C.-Y. Su and W.-C. Kao, “Effective Demosaicing Using Subband Correlation,” IEEE Trans. Consumer Electronics, vol. 55, no. 1, pp. 199-204, 2009 [6] Linear CCD: http://www.dalsa.com/sensors/products/sensordetails.aspx?partNumber=IL-P1-2048 / http://www.bosontech.com.cn/blog/20100503.html [7] TDI Line-scan Camera : http://www.icpdas.com/products/Vision/mavis/vision_glossary_n~z_c.htm [8] Chih-Wen Wang, “An Edge Sensing Method for Color Filter Array Interpolation,” M.S. thesis, Southeren Taiwan University, Tainan, ON, Taiwan, 2008 [9] B. E. Bayer, “Color imaging array,” US Patent 3971065, 1976. [10] H. Honda et al., “A novel Bayer-like WRGB color filter array for CMOS image sensors,” Electronic Imaging, 2007. [11] K. Hirakawa and P. J. Wolfe, “Spatio-spectral color filter array design for optimal image recovery,” IEEE Trans. Image processing, vol. 17, no. 10, pp. 1876–1890, Oct. 2008. [12] L. Condat, “A new colour filter array with optimal sensing properties,” IEEE ICIP, Nov. 2009, Cairo, Egypt [13] A. Getman, Jinhak Kim, Tae-Chan Kim, “Imaging system having White-RGB color filter array,” IEEE Trans. Image processing, pp. 569-572 , 2010 [14] P. M. Hubel, J. Liu, and R. J. Guttosch, “Spatial Frequency Response of Color Image Sensors: Bayer Color Filters and Foveon X3,” Proc. SPIE Vol. 5301, p. 402-407, 2004. [15] R. Lukac and K. N. Plataniotis, “Color filter arrays: Design and performance analysis,” IEEE Trans. Consum. Electron., vol. 51, no. 4, pp. 1260–1267, Nov. 2005. [16] W. T. Freeman, “Median filter for reconstructing missing color samples,” U.S. Patent 4 724 395, Feb. 9, 1988. [17] W. Lu and Y. P. Tan, “Color filter array demosaicking: New method and performance measures,” IEEE Trans. Image Process., vol. 12, no. 10, pp. 1194–1210, Oct. 2003. [18] C.-Y. Su and Y.-S. Lin, “Colour interpolation using wavelet-based classifiers,” Electronics Letters, vol. 43, no. 12, pp. 667-669, June 2007. [19] Kodak test images and the demosaicing code of successive approximation available at http://www.csee.wvu.edu/~xinl/demo/demosaic.html. [20] C. D. Jones, A. B. Smith, and E.F. Roberts, Book Title, Publisher, Location, Date. [21] R. C. Gonzalez, R. E. Woods, Digital Image Processing second edition, Prentice Hall, 2002 [22] B. K. Gunturk, J. Glotzbach, Y. Altunbasak, R. W. Schafer, and R. M. Mersereau, “Demosaicking: Color Filter Array Interpolation,” IEEE Signal Processing Magazine, Jan. 2005. [23] Introduction of Self Similarity : http://www.ipol.im/pub/algo/bcms_self_similarity_driven_demosaicking/ [24] J. Hamilton Jr and J. Adams Jr, “Adaptive color plan interpolation in single sensor color electronic camera,” 1997, US Patent 5,629,734.* [25] D. Cok, “Signal processing method and apparatus for producing interpolated chrominance values in a sampled color image signal,” 1987, US Patent 4,642,678.* [26] K. Jensen and D. Anastassiou, “Subpixel edge localization and the interpolation of still images,” IEEE Trans. On Image Processing, Vol. 4, pp. 285-295, Mar. 1995 [27] M. Sonka, V. Hlavac, and R. Boyle, Image Porcessing, Analysis, and Machine Vision, PWS Pubishing, pp. 67-68, 1999. [28] 劉鴻明、蔡孟達、張元翔,應用於影像縮放技術之內插法評估研究,中華理工學刊,桃園,2005,pp 43-49。 [29] H. A. Chang and H. H. Chen, “Stochastic color interpolation for digital cameras,” IEEE Trans. Circuits and Systems for Video Technology, Vol. 17, No. 8, pp. 964-973, 2007. [30] J.E. Adams and J.F. Hamilton, “Design of practical color filter array interpolation algorithms for digital cameras,” Proc. SPIE, vol. 3028, pp. 117–125, 1997. [31] H. Kim, T.-y. Jung, S. Park, and J. Jeong, “Demosaicing algorithm based on color correlation,” Picture Coding Symposium, pp. 1-4, May 2009. [32] T.-y. Jung, S. Yang, and J. Jeong, “Multi-directional Demosaicing for Digital Still Cameras,” Computer Science and Information Engineering, 2009 WRI World Congress on, vol. 7, pp. 374-378, April 2009. [33] 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 heterogeneity-projection,” IEEE Trans. Image Processing, Vol. 17, No. 12, pp. 2356-2367, 2008. [34] D. Alleysson, S. Susstrunk, and J. Herault, “Linear demosaicing inspired by the human visual system,” IEEE Trans. Image Process., vol. 14, no. 4, pp. 439–449, Apr., 2005 [35] 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. [36] Yi-Ching Wu, “Improved Color Image Quality Assessment Based on Structural Similarity,” B.S., Department of Computer Science and Information Engineering, National Taiwan University, Taiwan, 2010 [37] Meng-Che Chuang, Yi-Nung Liu, Tsung-Huang Chen, Shao-Yi Chien, “Color filter array demosaicking using joint bilateral filter,” IEEE international conference on Multimedia and Expo, pp. 125-128, 2009. [38] Source images: http://sipi.usc.edu/database/ [39] Kodak PhotoCD PCD0992: http://r0k.us/graphics/kodak/ [40] Test images: http://www.imagecompression.info/test_images/ | |
dc.identifier.uri | http://tdr.lib.ntu.edu.tw/jspui/handle/123456789/35484 | - |
dc.description.abstract | 隨著高畫質時代(full-HD Generation)的來臨,人們對影像品質的需求越來越高。目前越來越多消費型的成像電子裝置使用單一感光元件,覆蓋一層貝爾排列模式之色彩濾鏡陣列去取樣並記錄場景中相對位置之三原色的像素值,而計算取像過程中丟失的像素值的過程稱為色彩內插演算法(CFA-interpolations)或去馬賽克演算法(Demosaicking Algorithms)。
在本篇論文中,為了減少數位取像裝置的成本及體積並因應高品質的需求,我們提出了基於光譜相關性的高品質面掃描式和線掃描式去馬賽克之演算法。對於面掃描式之成像感測器,我們利用更佳的初始內插演算法以減少影像低頻之誤差,並利用高頻迭代策略有效地得到清晰影像;對於線掃描式之成像感測器,為了有效落實演算法之硬體實現,我們提出利用高斯函數(Gaussian Blur function)分解原始取樣像素以得到平滑層(base layer)和細微層(detail layer)。平滑層採用傳統的色彩內插演算法做影像內插;細微層利用色頻高度相關性作係數迭代。因此,此方法之重建影像比起傳統的演算法,可以獲得較高的PSNR、SSIM值和較佳的視覺品質。 | zh_TW |
dc.description.abstract | With the advent of the full-HD Generation, human demand for high quality image is growing. Today more and more consumer electronic devices sample and record the nature sense with color pixel values by single sensor covered with color filter array arranged by Bayer pattern. The estimation of lost pixel values during the sensor sampling process is known as Color Filter Array Interpolation (CFA-interpolations) Algorithms or Demosaicking Algorithms.
In this paper, in order to reduce cost and size of digital imaging devices, and obtain high quality image, high quality area scan and line scan demosaicking algorithms based on spectral correlation are proposed. For area scan imaging sensors, we utilize better initial interpolations to reduce image errors in low-frequency regions and obtain sharper images by projecting the high-frequency coefficients of each color channels iteratively. For line scan imaging sensors, we propose using the Gaussian Function (Gaussian Blur Function) to decompose the mosaic image into a smooth layer (base layer) and the fine layer (detail layer) for the effective hardware implementation. In base layer, traditional color interpolations are adopted as image interpolation algorithms; in detail layer, perform the coefficient replacements according to the property that for nature images there is a high correlation between color channels. Therefore, reconstruction images, obtained from the proposed method, have higher PSNR and SSIM, and better visual quality than traditional algorithms. | en |
dc.description.provenance | Made available in DSpace on 2021-06-13T06:54:53Z (GMT). No. of bitstreams: 1 ntu-100-R98942046-1.pdf: 3327561 bytes, checksum: 904f8f4374e5c44eeaee7bb3384009d5 (MD5) Previous issue date: 2011 | en |
dc.description.tableofcontents | 口試委員會審定書 #
誌謝 i 中文摘要 iii ABSTRACT v CONTENTS vii LIST OF FIGURES ix LIST OF TABLES xii Chapter 1 Introduction 1 1.1 Background 3 1.2 Motivation 6 1.3 Thesis Organization 7 Chapter 2 Area-Scan Demosaicking Algorithms 9 2.1 Algorithms 9 2.1.1 Alternating Projection 11 2.1.2 Subband Synthesis 18 2.1.3 Subband Correlation 23 2.1.4 Improved Alternating Projection 30 2.2 Experiment Results 35 2.2.1 PSNR 36 2.2.2 SSIM 36 Chapter 3 Line-Scan Demosaicking Algorithms 45 3.1 Algorithms 47 3.1.1 Nearest-Neighbor replication 47 3.1.2 Bilinear interpolation 49 3.1.3 Hamilton-Adams algorithm 52 3.1.4 Multi-directional Demosaicking 54 3.1.5 Adaptive Heterogeneity-Projection 60 3.1.6 Proposed Algorithm II (Gauss_Multi_post) 67 3.2 Experiment Results 70 3.2.1 PSNR 70 3.2.2 SSIM 73 Chapter 4 Conclusion and Future Work 79 REFERENCE 81 Appendix I 85 | |
dc.language.iso | en | |
dc.title | 基於光譜相關性的高品質面掃描式和線掃描式去馬賽克之演算法 | zh_TW |
dc.title | High Quality Area Scan and Line Scan Demosaicking Algorithms Based on Spectral Correlation | en |
dc.type | Thesis | |
dc.date.schoolyear | 99-2 | |
dc.description.degree | 碩士 | |
dc.contributor.oralexamcommittee | 丁建均(Jian-Jiun Ding),郭景明(Jing-Ming Guo),杭學鳴(Hsueh-Ming Hang),林康平(Kang-Ping Lin) | |
dc.subject.keyword | 色彩濾鏡陣列,色彩內插演算法,去馬賽克演算法,高斯函數, | zh_TW |
dc.subject.keyword | Color Filter Array,Color Filter Array Interpolation (CFA-interpolations),Demosaicking Algorithms,Gaussian Function (Gaussian Blur Function), | en |
dc.relation.page | 85 | |
dc.rights.note | 有償授權 | |
dc.date.accepted | 2011-07-25 | |
dc.contributor.author-college | 電機資訊學院 | zh_TW |
dc.contributor.author-dept | 電信工程學研究所 | zh_TW |
顯示於系所單位: | 電信工程學研究所 |
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