Please use this identifier to cite or link to this item: http://hdl.handle.net/11455/19423
標題: 數位影像色調轉換演算法
Color Mood Transformation for Digital Photographs
作者: 黃明隆
Huang, Ming-Long
關鍵字: Color transfer;色彩轉換;color mood blending;Chinese paintings;high dynamic range images;common working field;image abstraction;色調混合;國畫;高動態範圍影像;通用空間;影像抽象化
出版社: 資訊科學系所
引用: [Abadpour2006] Abadpour, A. and Kasaei, S., “A Fast and Efficient Fuzzy Color Transfer Method,” Proceedings of the Fourth IEEE International Symposium on Signal Processing and Information Technology, pp. 491-494, 2004. [Abadpour2007] Abadpour, A. and Kasaei, S., “An Efficient PCA-based Color Transfer Method,” Journal of Visual Communication and Image Re-presentation, Vol. 18, No. 1, pp. 15-34, 2007. [Agrawal2005] Agrawal, A., Raskar, R., Nayar, S. K. and Li, Y., “Removing Photo-graphy Artifacts using Gradient Projection and Flash-Exposure Sampling,” ACM Transactions on Graphics (Proceedings of ACM SIGGRAPH 2005), Vol. 24, No. 3, pp. 828-835, 2005. [Bae2006] Bae, S., Paris, S. and Durand, F., “Two-scale Tone Management for Photographic Look,” ACM Transactions on Graphics (Proceedings of ACM SIGGRAPH 2006), Vol. 25, No. 3, pp. 637-645, 2006. [Berlin1969] Berlin, B. and Kay, P., Basic Color Terms: Their Universality and Evolution, University of California Press, Berkeley, 1969. [Brooks2006] Brooks, S., “Image-Based Stained Glass,” IEEE Transactions on Visualization and Computer Graphics, Vol. 12, No. 6, pp. 1547-1558, 2006. [Čadík2005] Čadík, M. and Slavík, P., “The Naturalness of Reproduced High Dynamic Range Images,” Proceedings of the Ninth International Conference on Information Visualization, pp. 920-925, 2005. [Čadík2006] Čadík, M., Wimmer, M., Neumann, L. and Artusi, A., “Image Attributes and Quality for Evaluation of Tone Mapping Operators,” Proceedings of Pacific Graphics 2006, pp. 35-44, 2006. [Chan2002] Chan, C. and Akleman, E., Two Methods for Creating Chinese Painting, Proceedings of 10th Pacific Conference on Computer Graphics and Applications (PG'02), pp. 403-412, 2002. [Chang2003] Chang, Y., Saito, S. and Nakajima, M., “A Framework for Transfer Colors Based on the Basic Color Categories,” Computer Graphics International, Tokyo, Japan, July 09-11, pp. 176-183, 2003. [Chang2004] Chang, Y., Saito, S., Uchikawa, K. and Nakajima, M., “Exam-ple-Based Color Stylization Based on Categorical Perception,” Pro-ceedings of the First Symposium on Applied Perception in Graphics and Visualization, Los Angeles, California August 07-08, pp. 91-98, 2004. [Chang2005a] Chang, Y., Saito, S., Uchikawa, K. and Nakajima, M., “Exam-ple-Based Color Transformation for Image and Video,” Proceedings of the 3th International Conference on Computer Graphics and In-teractive Techniques in Australasia and South East Asia, pp. 347-353, 2005. [Chang2005b] Chang, Y., Saito, S., Uchikawa, K. and Nakajima, M., “Exam-ple-Based Color Stylization of Images,” ACM Transactions on Ap-plied Perception, Vol. 2, No. 3, pp. 322-345, 2005. [Chang2007] Chang, Y., Saito, S. and Nakajima, M., “Example-Based Color Transformation of Image and Video Using Basic Color Categories,” IEEE Transactions on Image Processing, Vol. 16, No. 2, pp. 329-336, 2007. [Chen2004] Chen, T., Wang, Y., Schillings, V. and Meinel, C., “Grayscale Image Matting and Colorization,” Proceedings of Asian Conference on Computer Vision, pp. 1164-1169, 2004. [Chen2005] Chen, J., Pappas, T. N., Mojsilovic, A. and Rogowitz, B. E., “Adap-tive Perceptual Color-Texture Image Segmentation,” IEEE Transac-tions on Image Processing, Vol. 14, No. 10, pp. 1524-1536, 2005. [Chu2005] Chu, N. S. H. and Tai, C. L., “MoXi: Real-time Ink Dispersion in Absorbent Paper,” ACM Transactions on Graphics (Proceedings of ACM SIGGRAPH 2005), Vol. 24, No. 3, pp. 504-511, 2005. [Chuang2001] Chuang, Y. Y., Curless, B., Salesin, D. and Szeliski, R., “A Bayesian Approach to Digital Matting,” IEEE Conference on Computer Vision and Pattern Recognition 2001, Kauai Marriott, Hawaii, December 09-14, pp. 264-271, 2001. [Cohen-Or2006] Cohen-Or, D., Sorkine, O., Gal, R., Leyvand, T. and Xu, Y. Q., “Color Harmonization,” ACM Transactions on Graphics (Proceedings of ACM SIGGRAPH 2006), Vol. 25, No. 3, pp. 624-630, 2006. [Comaniciu2002] Comaniciu, D. and P. Meer, “Mean Shift: A Robust Approach Toward Feature Space Analysis,” IEEE Transactions on Pattern Analysis and Machine Intelligence, Vol. 24, No. 5, 2002. [Curtis1997] Curtis, C. J., Anderson, S. E., Seims, J. E., Fleischery, K. W. and Salesin, D. H., “Computer-Generated Watercolor,” Proceedings of the 24th Annual Conference on Computer Graphics and Interactive Techniques (ACM SIGGRAPH'97), pp. 421-430, 1997. [Debevec1997] Debevec, P. E. and Malik, J., “Recovering High Dynamic Range Radiance Maps from Photographs,” Proceedings of the 24th Annual Conference on Computer Graphics and Interactive Techniques, pp. 369-378, 1997. [Efros2001] Efros, A. A. and Freeman, W. T., “Image Quilting for Texture Syn-thesis and Transfer,” Proceedings of the 28th Annual Conference on Computer Graphics and Interactive Techniques (ACM SIGGRAPH 2001), pp. 341-346, 2001. [Fairchild2005] Fairchild, M. D., Color Appearance Models, Second Edition, Wi-ley-IS&T, Chester, UK, 2005. [Friedman1999] Friedman, M. and Kandel, A., Introduction to Pattern Recognition: Statistical, Structural, Neural, and Fuzzy Logic Approaches, World Scientific, New York, 1999. [Gonzalez2002] Gonzalez, R. C. and Woods, R. E., Digital Image Processing, Second Edition, Prentice Hall, 2002. [Goodnight2003] Goodnight, N., Wang, R., Woolley, C. and Humphreys, G., “Interac-tive Time-Dependent Tone Mapping Using Programmable Graphics Hardware,” Proceedings of Eurographics Symposium on Rendering 2003, pp. 26-37, 2003. [Greenfield2005] Greenfield, G. R. and House, D. H., “A Palette-Driven Approach to Image Color Transfer,” Proceedings of Computational Aesthetics in Graphics, Visualization and Imaging, pp. 111-122, 2005. [Grundland2005] Grundland, M. and Dodgson, N. A., “Color Histogram Specification by Histogram Warping,” Color Imaging X: Processing, Hardcopy, and Applications, Vol. 5667, pp. 610-621, 2005. [Guo2003] Guo, Q. L. and Kunii, T. L., “Nijimi Rendering Algorithm for Creating Quality Black Ink Paintings,” Proceedings of the Computer Graphics International (CGI'03), pp. 152-159, 2003. [Gupta2005] Gupta, M. R., Upton, S. and Bowen, J., “Simulating the Effect of Illumination Using Color Transformations,” Proceedings of the SPIE Conference on Computational Imaging III, Vol. 5674, pp. 248-258, 2005. [Haase1992] Haase, C. S. and Meyer, G. W., “Modeling Pigmented Materials for Realistic Image Synthesis,” ACM Transactions on Graphics, Vol. 11, No. 4, pp. 305-335, 1992. [Hertzmann2001] Hertzmann, A., Jacobs, C. E., Oliver, N., Curless, B. and Salesin, D. H., “Image Analogies,” Proceedings of the 28th Annual Conference on Computer Graphics and Interactive Techniques (ACM SIGGRAPH 2001), Los Angeles, California, USA, August 12-17, pp. 327-340, 2001. [Huang2007] Huang, M. L., Zhou, Y. C. and Wang, C. M., “An Improved Color Mood Blending Algorithm between Images via Fuzzy Relationship,” Lecture Notes in Computer Science (Proceedings of Mirage 2007), Vol. 4418, pp. 1-11, 2007. [Huang2005] Huang, Y. C., Tung, Y. S., Chen, J. C., Wang, S. W. and Wu, J. L., “An Adaptive Edge Detection Based Colorization Algorithm and Its Applications,” Proceedings of the 13th Annual ACM International Conference on Multimedia, pp. 351-354, 2005. [Huang2003] Huang, S. W., Way, D. L. and Shih, Z. C., “Physical-Based Model of Ink Diffusion in Chinese Paintings,” Journal of WSCG, Vol. 10, No. 3, pp. 520-527, 2003. [Hunt2004] Hunt, R. W. G., The Reproduction of Colour, Sixth Edition, John Wiley & Sons Ltd, 2004. [Irony2005] Irony, R., Cohen-Or, D. and Lischinski, D., “Colorization by Exam-ple,” Proceedings of Eruographics Symposium on Rendering, pp. 201-210, 2005. [Johnson2005] Johnson, G. M., “Cares and Concerns of CIE TC8-08: Spatial Ap-pearance Modeling and HDR Rendering,” Proceedings of IS&T/SPIE Electronic Imaging, Vol. 5668, pp. 148-156, 2005. [Kang2003] Kang, S. B., Uyttendaele, M., Winder, S. and Szeliski, R., “High Dynamic Range Video,” ACM Transactions on Graphics (Proceed-ings of ACM SIGGRAPH 2003), Vol. 22, No. 3, pp. 319-325, 2003. [Kotera2005] Kotera, H., “A Scene-Referred Color Transfer for Pleasant Imaging on Display,” IEEE International Conference on Image Processing, Vol. 2, pp. 5-8, 2005. [Kortum1969] Kortum, G., Reflectance Spectroscopy, Springer-Verlag, 1969. [Krawczyk2005] Krawczyk, G., Myszkowski, K. and Seidel, H.P., “Lightness Percep-tion in Tone Reproduction for High Dynamic Range Image,” Com-puter Graphics Forum (Proceedings of Eurographics 2005), Vol. 24, No. 3, pp. 635-645, 2005. [Kwo1990] Kwo, D. W., Chinese Brushwork in Calligraphy and painting: Its History, Aesthetics, and Techniques, 1990. [Ledda2004] Ledda, P., Santos, L. P. and Chalmers, A., “A Local Model of Eye Adaptation for High Dynamic Range Images,” Proceedings of the Third International Conference on Computer Graphics, Virtual Re-ality, Visualisation and Interaction, pp. 151-160, 2004. [Ledda2005] Ledda, P., Chalmers, A., Troscianko, T. and Seetzen, H., “Evaluation of Tone Mapping Operators using a High Dynamic Range Display,” ACM Transactions on Graphics (Proceedings of ACM SIGGRAPH 2005), Vol. 24, No. 3, pp. 640-648, 2005. [Lee1999] Lee, J., “Simulating Oriental Black-Ink Painting,” IEEE Computer Graphics and Applications, Vol. 19, No. 3, pp. 74-81, 1999. [Levin2004] Levin, A., Lischinski, E. and Weiss, Y., “Colorization Using Opti-mization,” ACM Transactions on Graphics (Proceedings of ACM SIGGRAPH 2004), Vol. 23, No. 3, pp. 689-694, 2004. [Lin2004] Lin, Y., Sun, J., Tang, C. K. and Shum, H. Y., “Lazy Snapping,” ACM Transactions on Graphics (Proceedings of ACM SIGGRAPH 2004), Vol. 23, No. 3, pp. 303-308, 2004. [Lischinski2006] Lischinski, D., Farbman, Z., Uyttendaele, M. and Szeliski, R., “In-teractive Local Adjustment of Tonal Values,” ACM Transactions on Graphics (Proceedings of ACM SIGGRAPH 2006), Vol. 25, No. 3, pp. 646-653, 2006. [Mantiuk2004] Mantiuk, R., Krawczyk, G., Myszkowski, K. and Seidel, H.-P., “Perception-motivated High Dynamic Range Video Encoding,” ACM Transactions on Graphics (Proceedings of ACM SIGGRAPH 2004), Vol. 23, No. 3, pp. 733-741, 2004. [Meylan2004] Meylan, L. and Süsstrunk, S., “Color Image Enhancement Using a Retinex-based Adaptive Filter,” Proceedings of IS&T Second Euro-pean Conference on Color in Graphics, Image, and Vision (CGIV 2004), Vol. 2, pp. 359-363, 2004. [Meylan2006a] Meylan, L., Tone Mapping for High Dynamic Range Images, Ph.D. Thesis, 2006. [Meylan2006b] Meylan, L. and Süsstrunk, S., “High Dynamic Range Image Ren-dering Using a Retinex-Based Adaptive Filter,” IEEE Transactions on Image Processing, Vol. 15, Nr. 9, pp. 2820-2830, 2006. [Meylan2007] Meylan, L., Alleysson, D. and Süsstrunk, S., “A Model of Retinal Local Adaptation for the Tone Mapping of CFA Images,” Journal of the Optical Society of America A, 2007. (to appear) [Munkberg2006] Munkberg, J., Clarberg, P., Hasselgren, J. and Akenine-Möller, T., “High Dynamic Range Texture Compression for Graphics Hardware,” ACM Transactions on Graphics (Proceedings of ACM SIGGRAPH 2006), Vol. 25, No. 3, pp. 698-706, 2006. [Neumann2005] Neumann, L. and Neumann, A., “Color Style Transfer Techniques using Hue, Lightness and Saturation Histogram Matching,” Compu-tational Aesthetics in Graphics, Visualization and Imaging 2005, pages 111-122, 2005. [Petschnigg2004] Petschnigg, G., Szeliski, R., Agrawala, M., Cohen, M., Hoppe, H. and Toyama, K., “Digital Photography with Flash and No-flash Image Pairs,” ACM Transactions on Graphics (Proceedings of ACM SIG-GRAPH 2004), Vol. 23, No. 3, pp. 664-672, 2004. [Pitie2005] Pitie, F., Kokaram, A. C. and Dahyot, R., “N-Dimensional Probability Density Function Transfer and Its Application to Color Transfer,” Proceedings of the Tenth IEEE International Conference on Computer Vision, Vol. 2, pp. 1434-1439, 2005. [Pitie2007] Pitie, F., Kokaram, A. C. and Dahyot, R., “Automated Colour Grad-ing Using Colour Distribution Transfer,” Computer Vision and Image Understanding, 2007. (to appear) [Qu2006] Qu, Y., Wong, T. T. and Heng, P. A., “Manga Colorization,” ACM Transactions on Graphics (Proceedings of ACM SIGGRAPH 2006), Vol. 25, No. 3, pp. 1214-1220, 2006. [Reinhard2001] Reinhard, E., Ashikhmin, M., Gooch, B. and Shirley, P., “Color Transfer between Images,” IEEE Computer Graphics and Applica-tions, Vol. 21, No. 5, pp. 34-41, 2001. [Reinhard2002] Reinhard, E., Stark, M., Shirley, P. and Ferwerda, J., “Photographic Tone Reproduction for Digital Images,” ACM Transactions on Graphics (Proceeding of ACM SIGGRAPH 2002), Vol. 21, No. 3, pp. 267-276, 2002. [Reinhard2003] Reinhard, E., “Parameter Estimation for Photographic Tone Repro-duction,” Journal of Graphics Tools, Vol. 7, No. 1, pp. 45-51, 2003. [Reinhard2004] Reinhard, E., Akyuz, A. O., Colbert, M., O''Connor, M. and Hughes, C. E., “Real-Time Color Blending of Rendered and Captured Video,” Proceedings of I/ITSEC 2004, Orlando, December 6-9, 2004. [Reinhard2005] Reinhard, E., Ward, G., Pattanaik, S. and Debevec, P., High Dynamic Range Imaging, Morgan Kaufmann Publishers, 2005. [Roimela2006] Roimela, K., Aarnio, T. and Itäranta, J., “High Dynamic Range Tex-ture Compression,” ACM Transactions on Graphics (Proceedings of ACM SIGGRAPH 2006), Vol. 25, No. 3, pp. 707-712, 2006. [Rother2004] Rother, C., Kolmogorov, V. and Blake, A., “Grabcut: Interactive Foreground Extraction Using Iterated Graph Cuts,” ACM Transac-tions on Graphics (Proceedings of ACM SIGGRAPH 2004), Vol. 23, No. 3, pp. 309-314, 2004. [Ruderman1998] Ruderman, D. L., Cronin, T. W. and Chiao, C. C., “Statistics of Cone Responses to Natural Images: Implications for Visual Coding,” Journal of Optical Society of America A, Vol. 15, No. 8, pp. 2036-2045, 1998. [Seetzen2003] Seetzen, H., Whitehead, L. and Ward, G., “A High Dynamic Range Display Using Low and High Resolution Modulators,” Society for Information Display International Symposium Digest of Technical Papers, Vol. 34, No. 1, pp. 1450-1453, 2003. [Seetzen2004] Seetzen, H., Heidrich, W., Stuerzlinger, W., Ward, G., Whitehead, L., Trentacoste, M., Ghosh, A. and Vorozcovs, A., “High Dynamic Range Display Systems,” ACM Transactions on Graphics (Proceedings of ACM SIGGRAPH 2004), Vol. 23, No. 3, pp. 760-768, 2004. [Small1990] Small, D. L., “Simulating Watercolor by Modeling Diffusion, Pig-ment and Paper Fivers,” Proceedings of SPIE, Vol. 1460, No. 15, San Jose, CA, 1990. [Smith2006] Smith, K., Krawczyk, G., Myszkowski, K. and Seidel, H.-P., “Beyond Tone Mapping: Enhanced Depiction of Tone Mapped HDR Images,” Computer Graphics Forum (Proceedings of Eurographics 2006), Vol. 25, No. 3, pp. 427-438, 2006. [Stone2003] Stone, M. C., A Field Guide to Digital Color, A K Peters, 2003. [Sun2004] Sun, J., Jia, J., Tang, C. K. and Shum, H. Y., “Poisson Matting,” ACM Transactions on Graphics, Vol. 23, No. 3, pp. 315-321, 2004. [Sun2006] Sun J., Li, Y., Kang, S. B. and Shum, H. Y., “Flash Matting,” ACM Transactions on Graphics (Proceedings of ACM SIGGRAPH 2006), Vol. 25, No. 3, pp. 772-778, 2006. [Sykora2004] Sykora, D., Buriankek, J. and Zara, J., “Unsupervised Colorization of Black-and-White Cartoons,” Proceedings of the Third International Symposium on Non-photorealistic Animation and Rendering, pp. 121-127, 2004. [Sykora2005] Sykora, D., Buriankek, J. and Zara, J., “Colorization of Black-and-White Cartoons,” Image and Vision Computing, Vol. 23, No. 9, pp. 767-782, 2005. [Tai2005] Tai, Y. W., Jia, J. and Tang, C. K., “Local Color Transfer via Proba-bilistic Segmentation by Expectation-Maximization,” IEEE Confe-rence on Computer Vision and Pattern Recognition, San Diego, CA, USA, June 20-25, pp. 747-754, 2005. [Tomasi1998] Tomasi, C. and Manduchi, R., “Bilateral Filtering for Gray and Color Images,” Proceedings of IEEE International Conference on Computer Vision, pp. 836-846, 1998. [Wang2004] Wang, C. M. and Huang, Y. H., “A Novel Color Transfer Algorithm for Image Sequences,” Journal of Information Science and Engi-neering, Vol. 20, No. 6, pp. 1039-1056, 2004. [Wang2006a] Wang, C. M., Huang, Y. H. and Huang, M. L., “An Effective Algo-rithm for Image Sequence Color Transfer,” Mathematical and Computer Modelling, Vol. 44, No. 7-8, pp. 608-627, 2006. [Wang2006b] Wang, C. M. and Huang, Y. H., “A Novel Automatic Color Transfer Algorithm between Images,” Journal of the Chinese Institute of En-gineers, Vol. 29, No. 6, pp. 1051-1060, 2006. [Wang2006c] Wang, C. M., You, S. A. and Huang, M. L., “A Novel Colorization Technique for Chinese Ink Paintings,” Journal of Engineering Na-tional Chung Hsing University, Vol. 17, No 2. pp. 105-118, 2006. (in Chinese) [Wang2007] Wang, C. M. and Wang, R. J., “Image-Based Color Ink Diffusion Rendering,” IEEE Transactions on Visualization and Computer Graphics, Vol. 13, No. 2, pp. 235-246, 2007. [Wang2005] Wang, J. and Cohen, M. F., “An Iterative Optimization Approach for Unified Image Segmentation and Matting,” Proceedings of Tenth IEEE International Conference on Computer Vision, Beijing, China, Vol. 2, pp. 936-943, 2005. [Ward1994] Ward, G. J., “The RADIANCE Lighting Simulation and Rendering System,” Proceedings of the 21st Annual Conference on Computer Graphics and Interactive Techniques (ACM SIGGRAPH'94), pp. 459-472, 1994. [Ward2004] Ward, G. and Simmons, M., “Subband Encoding of High Dynamic Range Imagery,” Proceedings of the First Symposium on Applied Perception in Graphics and Visualization (APGV''04), pp. 83-90, 2004. [Way2001] Way, D. L. and Shih, Z. C., “The Synthesis of Rock Textures in Chinese Landscape Painting,” Computer Graphics Forum, Vol. 20, No. 3, pp.C123-C131, Sept. 2001. [Way2002] Way, D. L., Lin, Y. R. and Shih, Z. C., “The Synthesis of Trees in Chinese Landscape Painting Using Silhouette and Texture Strokes,” Journal of WSCG, Vol. 10, No.2, pp. 499-506, 2002. [Way2006a] Way, D. L., Lin, W. J. and Shih, Z. C., “Computer-Generated Chinese Color Ink Paintings,” Journal of the Chinese Institute of Engineers, Vol. 29, No. 6, pp. 1041-1050, 2006. [Way2006b] Way, D. L. and Shih, Z. C., “Wrinkle Rendering of Terrain Models in Chinese Landscape Painting,” IEICE Transactions on Information and Systems, Vol. E98-D, No. 3, pp. 1238-1248, 2006. [Welash2002] Welsh, T., Ashikhmin, M. and Mueller, K., “Transferring Color to Greyscale Images,” ACM Transactions on Graphics (Proceedings of ACM SIGGRAPH 2002), Vol. 21, No. 3, pp. 277-280, 2002. [Winnemoller2006] Winnemoller, H., Olsen, S. C. and Gooch, B., “Real-time Video Ab-straction,” ACM Transactions on Graphics (Proceedings of ACM SIGGRAPH 2006), Vol. 25, No. 3, pp. 1221-1226, 2006. [Wyszecki2000] Wyszecki, G. and Stiles, W. S., Color Science: Concepts and Methods, Quantitative Data and Formulae, Second Edition, Wi-ley-Interscience, New York, 2000. [Xu2005a] Xu, R., Pattanaik, S. N. and Hughes, C. E., “High-Dynamic-Range Still-Image Encoding in JPEG 2000,” IEEE Computer Graphics and Applications, Vol. 25, No. 6, pp. 57-64, 2005. [Xu2005b] Xu, S., Zhejiang, S., Zhang, S. and Ye, X., “Uniform Color Transfer,” Proceedings of IEEE International Conference on Image Processing, Vol. 3, pp. 940-943, 2005. [Yatziv2006] Yatziv, L. and Sapiro, G., “Fast Image and Video Colorization using Chrominance Blending,” IEEE Transactions on Image Processing, Vol. 15, No. 5, pp. 1120-1129, 2006. [Yin2004] Yin, L., Jia, J. and Morrissey, J., “Towards Race-Related Face Iden-tification: Research on Skin Color Transfer,” Proceedings of the Sixth IEEE International Conference on Automatic Face and Gesture Recognition, pp. 362-368, 2004. [Ying2005] Ying, J. and Ji, L., “Pattern Recognition Based Color Transfer,” Proceedings of the Computer Graphics, Imaging and Visualization, Beijing, China, pp. 55-60, 2005. [Yoshida2006] Yoshida, A., Mantiuk, R., Myszkowski, K. and Seidel, H.P., “Analy-sis of Reproducing Real-World Appearance on Displays of Varying Dynamic Range,” Computer Graphics Forum (Proceedings of Eu-rographics 2006), Vol. 25, No. 3, pp. 415-426, 2006. [Yu2003] Yu, J. H., Luo, G. M. and Peng, Q. S., “Image-based Synthesis of Chinese Landscape Painting,” Journal of Computer Science and Technology, Vol. 18, No. 1, pp. 22-28, 2003.
摘要: 
近年來,在電腦繪圖領域中,將一影像中的色調轉換至另一影像上一直是相當重要的研究議題。其基本概念均是先給予兩張影像,一為來源影像,另一則為目標影像,經由色彩轉換演算法處理過後,使得結果影像的色調與目標影像具有極高的相似度。然而,目前文獻上的演算法均僅考慮目標影像對結果影像的影響,忽略來源影像的影響程度。
我們提出一個色彩混合演算法,其主要意涵是基於計算影像之間的關聯性以混合任意的兩張影像之色調。藉由計算影像間的關聯性,我們的演算法能夠提供較佳的色彩轉換或是混合表現。此外,我們通式化上述的演算法並提出兩個量測色彩相似度的技術來找出適當的混和權重,以自動地同時平衡兩張影像的色彩對結果影像的影響程度。實驗結果證實:結合通式化後的色彩混合演算法及色彩相似度量測技術,能夠產生較為客觀並且令人感到滿意的結果。
中國山水畫是國畫中重要的藝術形態之一。當我們企圖重繪其色彩時,面臨若干的困難度,此乃因為中國山水畫擁有的三項不同於西方繪畫的基本特性,亦即僅使用有限的色彩作畫、留白以及水墨的擴散。我們認為重繪山水畫的色彩時,上述的特性必須被保留下來。據此,我們提出一個有效的方法來重繪中國山水畫的色彩。結果顯示就我們的方法在視覺上而言是符合我們對於山水畫的美學經驗。此外,我們也將上述方法予以延伸,為傳統的灰階水墨畫上色,其效果也相當優異。
高動態範圍影像,憑藉著捕捉大量的亮度資訊用以提高數位影像的品質。然而,當這類影像被使用於色彩轉換的應用時,由於兩張影像的亮度範圍相差很大,故產生不自然、不協調的結果影像。我們提出一個通用空間的概念,將高動態範圍影像資訊轉換至該通用空間中,進而於此空間中進行色彩轉換。結果顯示,我們提出的方法確實能夠使得色彩轉換的技術能夠被使用於高動態範圍影像上,並且獲得與預期中的效果。此外,我們更將影像抽象化技術在所提出的通用空間中處理,實驗結果顯示這個通用空間成功的對高動態範圍影像作影像抽象化處理,產生令人激賞的視覺效果。
總結本文,我們提出的這些演算法對於色彩轉換、色調混合等應用具有實質的貢獻。

Recent years, transforming the color appearance of an image onto another one is a popular research topic in computer graphics community, which is called color transfer. The basic principle of color transfer is that given a source and a target image, the color transfer algo-rithms change the color appearance of the source image to produce a resultant image, making it look like that of the target one. All previous color transfer algorithms simply take into con-sideration the correlations of the target image to the resultant one, disregarding the influence from the source image.
We present a color mood blending algorithm. The basic concept of this algorithm is to compute the correlations between the source and target images. As a result, our algorithm provides a good color mood blending rendition for a number of source and target images. In addition, we generalize the concept of our algorithm by introducing a color similarity mea-surement to automatically balance the influence from the source and target images. This me-chanism enables us to obtain an appropriate color blending weight to produce a resultant im-age with visually plausible appearance.
Chinese landscape paintings are an important art form in Chinese paintings. However, it is difficult to repaint their color appearance because they contain particular properties: finite colors, voids, and color diffusion. In this thesis, we present an efficient algorithm to repaint the color appearance of those paintings. Our algorithm produces results that are aesthetically pleasing from the aspect of human visual perception. In addition, we extend our algorithm to colorize the Chinese ink paintings. Experimental results verify the success of our algorithm for Chinese ink painting colorization.
High dynamic range (HDR) images have been proposed in computer graphics community to heighten image quality via the capture of the vast luminance. Due to vast variation of lu-minance, it is difficult to apply color transfer for HDR images. In this thesis, we also address this problem and propose a common working field that is able to convert HDR data to this field accomplishing the color transfer application. We extend this common working field to support HDR image abstraction. Experimental results verify the feasibility of our approach.
URI: http://hdl.handle.net/11455/19423
其他識別: U0005-1106200722120800
Appears in Collections:資訊科學與工程學系所

Show full item record
 

Google ScholarTM

Check


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.