• KSII Transactions on Internet and Information Systems
    Monthly Online Journal (eISSN: 1976-7277)

Intra-picture Block-matching Method for Codebook-based Texture Compression

Vol. 10, No. 10, October 30, 2016
10.3837/tiis.2016.10.023, Download Paper (Free):

Abstract

In this paper, an efficient texture compression method is proposed for fast rendering, which exploits the spatial correlation among blocks through intra-picture block matching. Texture mapping is widely used to enhance the visual quality of results in real-time rendering applications. For fast texture mapping, it is necessary to identify an effective trade-off between compression efficiency and computational complexity. The conventional compression methods utilized for image processing (e.g., JPEG) provide high compression efficiency while resulting in high complexity. Thus, low complexity methods, such as ETC1, are often used in real-time rendering applications. Although these methods can achieve low complexity, the compression efficiency is still lower than that of JPEG. To solve this problem, we propose a texture compression method by reducing the spatial redundancy between blocks in order to achieve the better compression performance than ETC1 while maintaining complexity that is lower than that of JPEG. Experimental results show that the proposed method achieves better compression efficiency than ETC1, and the decoding time is significantly reduced compared to JPEG while similar to ETC1.


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Cite this article

[IEEE Style]
L. Cui and E. S. Jang, "Intra-picture Block-matching Method for Codebook-based Texture Compression," KSII Transactions on Internet and Information Systems, vol. 10, no. 10, pp. 5063-5073, 2016. DOI: 10.3837/tiis.2016.10.023.

[ACM Style]
Li Cui and Euee S. Jang. 2016. Intra-picture Block-matching Method for Codebook-based Texture Compression. KSII Transactions on Internet and Information Systems, 10, 10, (2016), 5063-5073. DOI: 10.3837/tiis.2016.10.023.

[BibTeX Style]
@article{tiis:21257, title="Intra-picture Block-matching Method for Codebook-based Texture Compression", author="Li Cui and Euee S. Jang and ", journal="KSII Transactions on Internet and Information Systems", DOI={10.3837/tiis.2016.10.023}, volume={10}, number={10}, year="2016", month={October}, pages={5063-5073}}