Texture compression with hierarchical palette

Jia Hao Yang, Chih Hung Kuo, Yu Kuan Lin

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Most texture compression schemes are not able to accurately represent the object edges, since the number of color candidates usually are not sufficient to reconstruct a smooth block. We propose a new hierarchical palette approach for the texture compression. The colors are chosen from palettes and sub-palettes in quad-tree without increasing bit rates. The experimental results show significant improvements over most existing texture compression methods.

Original languageEnglish
Title of host publicationProceedings - 2016 IEEE 2nd International Conference on Multimedia Big Data, BigMM 2016
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages266-269
Number of pages4
ISBN (Electronic)9781509021789
DOIs
Publication statusPublished - 2016 Aug 16
Event2nd IEEE International Conference on Multimedia Big Data, BigMM 2016 - Taipei, Taiwan
Duration: 2016 Apr 202016 Apr 22

Publication series

NameProceedings - 2016 IEEE 2nd International Conference on Multimedia Big Data, BigMM 2016

Other

Other2nd IEEE International Conference on Multimedia Big Data, BigMM 2016
CountryTaiwan
CityTaipei
Period16-04-2016-04-22

All Science Journal Classification (ASJC) codes

  • Signal Processing
  • Information Systems
  • Media Technology

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  • Cite this

    Yang, J. H., Kuo, C. H., & Lin, Y. K. (2016). Texture compression with hierarchical palette. In Proceedings - 2016 IEEE 2nd International Conference on Multimedia Big Data, BigMM 2016 (pp. 266-269). [7545035] (Proceedings - 2016 IEEE 2nd International Conference on Multimedia Big Data, BigMM 2016). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/BigMM.2016.50