Browse > Article
http://dx.doi.org/10.5626/JCSE.2016.10.2.68

A Hybrid Texture Coding Method for Fast Texture Mapping  

Cui, Li (Department of Computer & Software, Hanyang University and Department of Computer Science & Technology, College of Science & Engineering, Yanbian University)
Kim, Hyungyu (Department of Electronics & Computer Engineering, Hanyang University)
Jang, Euee S. (Division of Computer Science & Engineering, Hanyang University)
Publication Information
Journal of Computing Science and Engineering / v.10, no.2, 2016 , pp. 68-73 More about this Journal
Abstract
An efficient texture compression method is proposed based on a block matching process between the current block and the previously encoded blocks. Texture mapping is widely used to improve the quality of rendering results in real-time applications. For fast texture mapping, it is important to find an optimal trade-off between compression efficiency and computational complexity. Low-complexity methods (e.g., ETC1 and DXT1) have often been adopted in real-time rendering applications because conventional compression methods (e.g., JPEG) achieve a high compression ratio at the cost of high complexity. We propose a block matching-based compression method that can achieve a higher compression ratio than ETC1 and DXT1 while maintaining computational complexity lower than that of JPEG. Through a comparison between the proposed method and existing compression methods, we confirm our expectations on the performance of the proposed method.
Keywords
Block matching; Texture compression; Spatial similarity;
Citations & Related Records
연도 인용수 순위
  • Reference
1 P. S. Heckbert, "Survey of texture mapping," IEEE Computer Graphics and Applications, vol. 6, no. 11, pp. 56-67, 1986.   DOI
2 G. K. Wallace, "The JPEG still picture compression standard," IEEE Transactions on Consumer Electronics, vol. 38, no. 1, pp. 18-34, 1992.
3 J. Strom and T. Akenine-Moller, "PACKMAN: texture compression for mobile phones," in ACM SIGGRAPH Sketches, Los Angeles, CA, 2004, p. 66.
4 J. Strom and T. Akenine-Moller, "iPACKMAN: high-quality, low-complexity texture compression for mobile phones," in Proceedings of ACM SIGGRAPH/EUROGRAPHICS Conference on Graphics Hardware, Los Angeles, CA, 2005, pp. 63-70.
5 J. Strom and M. Pettersson, "ETC2: texture compression using invalid combinations," in Proceedings of ACM SIGGRAPH/EUROGRAPHICS Conference on Graphics Hardware, San Diego, CA, 2007, pp. 49-54.
6 K. I. Iourcha, K. S. Nayak, and Z. Hong, "System and method for fixed-rate block-based image compression with inferred pixel values," US Patent 5,956,431, February, 1999.
7 S. Fenny, "Texture compression using low-frequency signal modulation," in Proceedings of ACM SIGGRAPH/EUROGRAPHICS Conference on Graphics Hardware, San Diego, CA, 2003, pp. 84-91.
8 OpenGL, "ARB_texture_compression_bptc," 2010; https://www.opengl.org/registry/specs/ARB/texture_compression_bptc.txt.
9 J. Strom and P. Wennersten, "Lossless compression of already compressed textures," in Proceedings of ACM SIGGRAPH Symposium on High Performance Graphics, Vancouver, Canada, 2011, pp. 177-182.
10 Y. C. Lin and S. C. Tai, "Fast full-search block-matching algorithm for motion-compensated video compression," IEEE Transactions on Communications, vol. 45, no. 5, pp. 527-531, 1997.   DOI
11 X. Jing and L. P. Chau, "An efficient three-step search algorithm for block motion estimation," IEEE Transactions on Multimedia, vol. 6, no.3, pp. 435-438, 2004.   DOI
12 C. H. Cheung and L. M. Po, "Novel cross-diamond-hexagonal search algorithms for fast block motion estimation," IEEE Transactions on Multimedia, vol. 7, no. 1, pp. 16-22, 2005.   DOI
13 C. C. Chen, X. Xu, R. L. Liao, W. H. Peng, S. Liu, and S. Lei, "Screen content coding using non-square intra block copy for HEVC," in Proceedings of IEEE International Conference on Multimedia and Expo (ICME), Chengdu, China, 2014, pp. 1-6.
14 D. K. Kwon and M. Budagavi, "Fast intra block copy (IntraBC) search for HEVC screen content coding," in Proceedings of IEEE International Symposium on Circuits and Systems (ISCAS), Melbourne, Australia, 2014, pp. 9-12.
15 W. Griffin and M. Olano, "Evaluating texture compression masking effects using objective image quality assessment metrics," IEEE Transactions on Visualization and Computer Graphics, vol. 21, no. 8, pp. 970-979, 2015.   DOI