• DocumentCode
    727328
  • Title

    High-quality texture compression using adaptive color grouping and selection algorithm

  • Author

    Chun-Wei Chen ; Ching-Heng Su ; Der-Wei Yang ; Wang, Jonas ; Chia-Cheng Lo ; Ming-Der Shieh

  • Author_Institution
    Dept. of Electr. Eng., Nat. Cheng Kung Univ., Tainan, Taiwan
  • fYear
    2015
  • fDate
    24-27 May 2015
  • Firstpage
    2760
  • Lastpage
    2763
  • Abstract
    Texture compression is an important technique to reduce memory storage and increase rendering speed in graphic processing units (GPUs). To ensure fast decoding and retain random memory access characteristics, the industry standard DXTC compression finds an approximate line segment in color space for each 4×4 block. The idea has been extended to multiline solutions by segmenting the 4×4 block into several partitions and adopted by the new format BPTC. BPTC can provide the highest quality than other texture compression standards. However, the limited partition combinations used in BPTC would smooth the texture detail in some cases. This work introduces an adaptive color grouping and selection algorithm to relax the texture smoothing issue. Simulation results show that the proposed algorithm can improve the average PSNR by 0.78 dB for those blocks.
  • Keywords
    data compression; image coding; image colour analysis; image segmentation; image texture; BPTC; GPUs; adaptive color grouping; adaptive selection algorithm; average PSNR; block partition texture coding; directX texture compression; fast decoding; graphic processing units; high-quality texture compression; industry standard DXTC compression; line segment; memory storage reduction; multiline solutions; random memory access characteristics; texture smoothing; Approximation methods; Color; Encoding; Image coding; Image color analysis; Image segmentation; Partitioning algorithms; BPTC; DXTC; fixed rate block compression; texture compression;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Circuits and Systems (ISCAS), 2015 IEEE International Symposium on
  • Conference_Location
    Lisbon
  • Type

    conf

  • DOI
    10.1109/ISCAS.2015.7169258
  • Filename
    7169258