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  1. NTU Theses and Dissertations Repository
  2. 電機資訊學院
  3. 光電工程學研究所
請用此 Handle URI 來引用此文件: http://tdr.lib.ntu.edu.tw/jspui/handle/123456789/25333
完整後設資料紀錄
DC 欄位值語言
dc.contributor.advisor黃鼎偉
dc.contributor.authorZen-Wen Linen
dc.contributor.author林仁文zh_TW
dc.date.accessioned2021-06-08T06:09:24Z-
dc.date.copyright2007-07-26
dc.date.issued2007
dc.date.submitted2007-07-12
dc.identifier.citation[1] T.Welsh, M. Ashikhmin, and K. Mueller, “Transferring Color to Greyscale Images”, Proceedings of ACM SIGGRAPH 2002, July 2002.
[2] A. Hertzmann, C. E. Jacobs, N. Oliver, B. Curless and D. H. Salesin, “Image analogies”, Proceedings of SIGGRAPH 2001, July 2001.
[3] M. D. Fairchild, Color Appearance Models. Massachusetts, USA: Addison Wesley, 1998.
[4] G. Wyszechi and W. S. Stiles, Color Science: Concepts and Methods. Quantitative Data and Formulae, 2nd ed. New York: Wiley, 1982.
[5] http://www.cambridgeincolour.com/tutorials/sRGB-AdobeRGB1998.htm, 'sRGB-AdobeRGB1998.'
[6] http://www.srgb.com/basicsofsrgb.htm, 'Basic sRGB Math.
[7] http://www.eizo.com.tw/lcd/coloredge/coloredge%20information-3.htm, 'Adobe RGB Reproduction Area.'
[8] D. B. Judd and G. Wyszecki, Color in Business, Science, and Industry, 3rd ed. New York: Wiley, 1975.
[9] G. Buchsbaum and A. Gottschalk, 'Trichromacy, Opponent Colour Coding and Optimum Colour Information Transmission in the Retina,' Proceedings of the Royal Society of London, vol. Series B, pp. 89-113, 1983.
[10] D. L. Ruderman, T. W. Cronin, and C.-C. Chiao, 'Statistics of cone responses to natural images: implications for visual coding,' Journal of the Optical Society of America A, vol. 15, pp. 2036-2045, 1998.
[11] E. Reinhard, M. Ashikhmin, B. Gooch, and P. Shirley, “Color Transfer between Images”, IEEE Computer Graphics and Applications, pp. 34-40, September/October 2001.
[12] 楊豐銘,方鍵,林祺政,“數位典藏灰階圖照之彩色化技術 Color Transform for Digital Library Grey-value Images,”第二屆數位典藏技術研討會.
[13] G. Di Blasi, D. Reforgiato,“Fast Colorization of Gray Images.”In Proceedings of Eurographics Italian Chapter 2003
[14] RUDERMAN, D. L., CRONIN, T. W., AND CHIN CHIAO, C., 1998.
“Statistics of cone responses to natural images,” Feb. 20.
[15] Zen-Wen Lin, Si-De Lin, Ding-Wei Huang, “New Color Image Quality Metric
Based on lαβ and Lab Color Space,” IEEE Lasers and Electro-Optics,
CLEO/Pacific Rim 2007.
dc.identifier.urihttp://tdr.lib.ntu.edu.tw/jspui/handle/123456789/25333-
dc.description.abstract本篇論文是利用lαβ這種貼近人類視覺習慣且三個色彩頻道極少關聯性的色彩空間來研究灰階影像的上色與影像色彩的轉移。儘管灰階影像的上色並沒有「唯一」的正確答案,本論文希望提出一套方法,能盡量減少需要人為手動參與的部分。不同於以往需要人們為每一個灰階自行定義所對應的色彩,本論文以影像分割為基礎提出一個有效率的色彩轉移方法,藉由比對亮度以及紋理特徵,將所希望的色調完全轉移到灰階或彩色影像。藉著快速影像分割以及有效的比對技術,使得灰階影像的上色速度獲得大幅的提升,也讓其更具備實用性。zh_TW
dc.description.abstractWe take advantage of the uncorrelated lαβcolor space to accomplish colorization of grayscale images. Even though the problem of adding chromatic values to a grayscale image has no exact solution, our approach attempts to provide a method to minimize the amount of human labor required for this task. Instead of choosing RGB colors from a palette to color individual components, we propose a segmentation-based color transferring method to deliver entire color mood to target images by matching luminance and texture information between the images. With a novel time-saving image segmentation procedure and an effective color-matching method for grayscale images, we get substantially speed-up and make it possible to be used in video processing applications.en
dc.description.provenanceMade available in DSpace on 2021-06-08T06:09:24Z (GMT). No. of bitstreams: 1
ntu-96-J94941009-1.pdf: 4114123 bytes, checksum: d4349264372c8ea1cc0b393394ff5c0a (MD5)
Previous issue date: 2007
en
dc.description.tableofcontents誌謝 I
摘要 II
Abstract III
目錄 IV
圖目錄 VI
表目錄 VIII
第一章 緒論 1
1.1 研究動機 1
1.2 研究背景 2
第二章 色彩學概論 4
2.1 色彩學概論 4
2.2 均勻的色彩空間(Uniform Color Space) 6
2.2.1 CIE 1976 (L*u*v*) 空間及色差公式[4] 7
2.2.2 CIE 1976 (L*a*b*) 空間及色差公式[4] 8
2.2.3 LCH色彩空間 10
2.3 三頻道互不關聯的色彩空間(Uncorrelated Color Space) 11
第三章 文獻探討 15
3.1 Color Transfer between Images 16
3.2 Transferring Color To Greyscale Images 18
3.3 Fast Colorization of Gray Images 20
第四章 實驗理論與結果討論 24
4.1 引言 24
4.2 影像分割演算法 24
4.3 色彩比對及上色(Color Matching & Colorization) 30
4.4 實驗結果 34
4.4.1 實驗環境 34
4.4.2 實驗結果 35
第五章 結論與展望 47
參考文獻 49
附錄壹
dc.language.isozh-TW
dc.subject色彩轉移zh_TW
dc.subjectlαβ色彩空間zh_TW
dc.subject灰階影像zh_TW
dc.subject灰階影像上色zh_TW
dc.subject影像分割zh_TW
dc.title利用lαβ色彩空間達成灰階影像色彩化zh_TW
dc.titleColorization Based on lαβ Color Spaceen
dc.typeThesis
dc.date.schoolyear95-2
dc.description.degree碩士
dc.contributor.oralexamcommittee林晃嚴,李允立
dc.subject.keywordlαβ色彩空間,灰階影像,灰階影像上色,影像分割,色彩轉移,zh_TW
dc.subject.keywordlαβcolor space,colorization,grayscale images,segmentation,en
dc.relation.page50
dc.rights.note未授權
dc.date.accepted2007-07-16
dc.contributor.author-college電機資訊學院zh_TW
dc.contributor.author-dept光電工程學研究所zh_TW
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