• 沒有找到結果。

In Section 3, we have presented an effective and efficient synthesis approach for perspective distorted textures. It has shown that the developed hybrid blending approach can preserve both advantages of MEBC and feathering, and generate more coherent transition for texture synthesis. In addition, we have applied PSO to accelerate the process of texture synthesis. The main control structure of the perspective distorted texture is identified through Hough transform, and then the distortion is rectified automatically. A combination of aforementioned techniques has been implemented, and the experimental results indicated that the proposed approach can work well for perspective distorted textures synthesis efficiently.

In Section 4, an adaptive patch-based artistic styles transfer method which can infuse novel style (high-frequency details) from the styled example and also preserve content in the target image based on activity analysis. The swarm intelligence approach is mainly aimed at the global sense of users preference for artistic styles transfer. Therefore, the PSO and user-oriented interface are adopted to meet the user needs and make matching degree optimal also. From our experiments, we could find our approach provides greater flexibility and better performance for the applications of artistic styles transfer.

In the future, some issue will be addressed:

1 For control structure detection, the main challenges are the line detection and texture rectification. These issues will be further studied

2 Acceleration scheme for both algorithms will be studied.

3 Overall system construction and evaluation.

REFERENCE

[1] K. Sangeetha1, Dr. P. Sengottuvelan and E. Balamurugan, “Improved Exemplar Based texture Synthesis Method for Natural Scene Image Completion, “ International Journal of Computer Science Issues, Vol. 8, Issue 5, No 2, September 2011.

[2] A. Shah, P. Bhatt and K. J. Modi, “Image Enhancement Techniques by Texture Synthesis,

“ International Journal of Emerging Technology and Advanced Engineering, Volume 2,

Issue 1, January 2012.

[3] P. Bhatt, S. Patel and R. Pandit, “Comparative Analysis of Interpolation and Texture Synthesis Method for Enhancing Image,“ International Journal of Innovative Research in Science, Engineering and Technology, Vol. 2, Issue 1, January 2013.

[4] Ankitha A, “Exemplar Based Image Inpainting,“ Journal of VLSI and Signal Processing, Vol 4, Issue 2, pp. 13-16, Mar-Apr. 2014.

[5] H. S. Lee, “A New Image Super Resolution by Texture Transfer,” IEEE International Conference on Image Processing, pp. 3915-3918, 2014.

[6] U. S. Thakur and O. Chubach, “Texture Analysis and Synthesis using Steerable Pyramid Decomposition for Video Coding, ” IEEE International Conference on Image Processing, pp. 204-207, 2015.

[7] C. H. Li, "A Study of Art-Based Rendering and Example-Based Texture Synthesis,"

Ph.D. Thesis, The Department of Computer Science and Engineering, National

Chung-Hsing university, Taiwan, ROC, Jan., 2004.

[8] S. C. Zhu, X. Liu and Y. N. Wu, “Exploring texture ensembles by efficient Markov chain MonteCarlo,” IEEE Trans. On Pattern Anal. Machine Intell., vol.22, no.6, pp.554-569, 2000.

[9] A. A. Efros and T. K. Leung, "Texture Synthesis by Non-Parametric Sampling," in Proceedings of International Conference on Computer Vision, Greece , pp. 1033-1038,

1999.

[10] L. Y. Wei and M. Levoy, “Fast texture synthesis using tree-structured vector quantiation”, Proc. Of SIGGRAPH, pp.479-488, 2000.

[11] M. Ashikhmin, "Synthesising natural textures," ACM Symposium on Interactive 3D Graphics, pp.217-226, 2000.

[12] M. Ashikhmin, "Fast Texture Transfer," IEEE Computer Graphics and Applications, vol.

23, no. 4, pp. 38-43, 2003.

[13] A. Nealen and M. Alexa, "Hybrid Texture Synthesis," in Proceedings of Eurographics Symposium on Rendering, pp. 97-105, 2003.

[14] A. A. Efros and W. T. Freeman, "Image Quilting for Texture Synthesis and Transfer," in Proceedings of SIGGRAPH 2001, pp. 341-346, 2001.

[15] L. Liang, C. Liu, Y. Q. Xu, B. Guo, and H. Y. Shum, "Real-Time Texture Synthesis by Patch-Based Sampling," ACM Transactions on Graphics, vol. 20, no. 3, pp.127-150,

2001.

[16] C. M. Kuo, W. H. Chang, M.-Y. Fang and G.-D Huang, “An Effective adaptive patch-based texture transfer algorithm using particle swam optimization, “ ICIC express Letters, Part B: Applications, vol. 2, no. 1, pp.183-188, 2011.

[17] W. Yin, J. Qiao and G. Han, “A Texture Synthesis Method Based on Multi-resolution Matching,” Journal of Information & Computational Science, October 2013.

[18] P. Patel, S. Gupta, H. Zafar and N. Deotale, “Structure and Texture Synthesis,”

International Journal of Students Research in Technology & Management, Vol 1(2), pp.

82-88, April 2013.

[19] L. Wang, “Intellingent Optimization with Applications,” Tsinghua University & Springer Press, Beijing, 2001.

[20] Y. Lin, W. C. Lin and J. Hays, “Near-regular texture analysis and manipulation,” ACM SIGGRAPH, pp. 368-376, 2004.

[21] W. C. Lin, J. Hays, C. Wu. V. Kwatra and Y. Lin, “Quantitative evaluation of near regular texture synthesis algorithms,” IEEE Computer Society Conf. on Computer Vision and Pattern Recognition, vol. 18, no. 5, pp. 427-434, 2006.

[22] L. Aurdal, "The Hough transform," INF 3300, INF4300, Norsk Regnesentral, http://

www.nr.no, 2006.

[23] R. O. Duda and P. E. Hart, "Use of the Hough Transformation to Detect Lines and

Curves in Pictures," Comm. ACM, vol. 15, pp.11–15, 1972.

[24] F. Shen and H. Wang, “Corner detection based on modified Hough transform,” Pattern Recognition Letters, vol.23 no.8, pp. 1039-1049, 2002.

[25] R. O. Duda and P. E. Hart, “Use of the Hough transformation to detect lines and curves in pictures,” Comm. ACM, vol. 15, pp. 11-15, 1972.

[26] http://registry.gimp.org/node/24600.

[27] A. Hertzmann, C. Jacobs, N. Oliver, B. Curless, D. Salesin., “Image Analogies,”

Proceedings of SIGGRAPH 2001, pp. 327-340, 2001.

[28] H. C. Lee, S. H. Seo, S. T. Ryoo and K. H. Yoon, “Directional Texture Transfer,”

Proceedings of the 8th International Symposium on Non-Photorealistic Animation and

Rendering (NPAR 2010), pp.43-48, 2010.

[29] X. Xie, F. Tian and H. S. Seah, “Feature Guided Texture Transfer Synthesis (FGTS) for Artistic Style Transfer,” 2nd ACM International Conference on Digital Interactive Media in Entertainment and Arts, pp.44-49, 2007.

[30] A. Martin and S. Tosunoglu, "Image processing techniques for machine vision," Florida Conference on Recent Advances in Robotics, pp. 1-9, 2000.

[31] Y. Meng, Y. Zhang, W. Li, Y. Pang, “Image Analogy Using Patch-Based Texture Synthesis,” International Conference on Communications, Circuits and Systems, pp.

974-978, 2004.

[32] L. Y. Wei, "Deterministic Texture Analysis and Synthesis using Tree Structure Vector Quantization," in Proceedings of the XII Brazilian Symposium on Computer Graphics and Image Processing, pp. 207-213, 1999.

[33] M. A. Penna and R. R. Patterson, “Projective Geometry and Its Applications” to Computer Graphics Prentice-Hall, Englewood Cliffs, NJ, 1986.

[34] R. Szeliski and H. Y. Shum, “Creating full view panoramic mosaics and environment maps,” Proc. Of SIGGRAPH, pp.251-258, 1997

[35] C. C. Chang, T. C. Lu and J. B. Ya, “VQ codebook searching algorithm based on correlation property,” Fundamental Informaticae, vol. 76, no. 1-2, pp. 39-57, 2007.

[36] C. F. Li, Q. X. Zhu and Z. Q. Geng, “Multi-objective particle swarm optimization hybrid algorithm: An application on industrial cracking furnace,” Ind. Eng. Chem. Res., vol. 46, pp. 3602-3609, 2007.

[37] A. I. F. Vaz and E. M. G. P. Fernandes, Optimization of nonlinear constrained particle swarm, Technological and Economic Development of Economy, vol. 12, pp. 30-36, 2006.

[38] A. Martin and S. Tosunoglu, "Image processing techniques for machine vision," Florida Conference on Recent Advances in Robotics, pp. 1-9, 2000.

[39] N. Aggarwal and W. C. Karl. “Line detection in images through regular Hough transform,” IEEE Trans. On Image Process., vol. 15, no. 3, pp. 582-591, 2006.

[40] J. Kennedy and R. C. Eberhart, “Particle swarm optimization,” Proc. Of IEEE International Conference on Neural Networks, vol 4, pp. 1942-1948, 1995.

[41] J. Kennedy and W. Spears, “Matching algorithms to Problems: An experimental test of the Particle swarm and some genetic algorithms on the multimodal problem generator,”

Proc. Of IEEE World Congress on Computational Intelligence, pp. 74-77, 1998.

[42] S. Sulaiman, S. M. Shamsuddin, F. Forkan and A. Abraham, “Intelligent Web caching using neuro computing and particle swarm optimization algorithm,” Proc. Of the 2nd Asia International Conference on Modelling and Simulation, pp. 13-15, 2008.

[43] M. J. D. Powell, “The theory of radial basis function approximation in 1990,” Advances in Numerical Analysis II: Wavelets, Subdivision Algorithms, and Radial Basis Functions, Oxford University Press, pp. 105-210, 1990.

PUBLICATIONS

Journal Papers

[1] Wei-Han Chang, Ming-Cheng Cheng, Chung-Ming Kuo, Nai-Chung Yang, Ding-Shun Huang, “An Efficient Contour-Based Layered Shape Descriptor for Image Retrieval”, International Journal of Innovative Computing Information and Control, vol. 7, no. 7, pp.

3903-3922, 2011.07

[2] Wei-Han Chang, Ming-Cheng Cheng, Chung-Ming Kuo, Chaur-Heh Hsieh, "An Efficient Synthesis Approach for Perspective Distorted Textures Using Control Structure Correction ", International Journal of Innovative Computing, Information and Control, vol. 9, no. 11, pp. 4401-4418, 2013.11

[3] Wei-Han Chang, Ming-Cheng Cheng, Chung-Ming Kuo, and Guan-Da Huang,

"Feature-Oriented Artistic Styles Transfer Based on Effective Texture Synthesis", International Journal of Information Hiding and Multimedia Signal Processing., vol. 6, no. 1, January 2015

Conference Papers

[1] Ming-Cheng Cheng, Wei-Han Chang, Meng-Tso Chen, and Chung-Ming Kuo, “A Co-occurrence LBP Descriptor for Texture Image Retrieval,” International Conference on Computer Science and Communication Engineering.

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