High-Order Integer Cosine Transform: Construction Method and Fast Algorithms for High-Resolution Image and Video Coding

被引:3
作者
Hnativ L.O. [1 ]
机构
[1] V. M. Glushkov Institute of Cybernetics, National Academy of Sciences of Ukraine, Kyiv
关键词
AVS; coding gain; compression ratio; computing complexity; discrete cosine transform; factorization; fast transform; H.264; H.265; integer cosine transform; scaled transform; video coding;
D O I
10.1007/s10559-017-9964-0
中图分类号
学科分类号
摘要
Matrix method of constructing one-norm high-order integer cosine transform is proposed. The one-norm order-32 integer transform is constructed and its fast algorithms of low computing complexity are developed. Its computing complexity is 3.24 times less than that in the well-known algorithms and 15.6 times less than in standard H.265 and requires integer operations only. This transform is not only very close to the discrete cosine transform but also has excellent coding performance. © 2017, Springer Science+Business Media, LLC.
引用
收藏
页码:615 / 626
页数:11
相关论文
共 19 条
  • [1] Gonzalez R.C., Woods R.E., Digital Image Processing, Pearson, (2007)
  • [2] Richardson I.E., H.264 and MPEG-4 Video Compression: Video Coding for Next-Generation Multimedia, Wiley, (2004)
  • [3] Information technology — Coding of Audio-Visual Objects, Part 10: Advanced Video Coding (2009), (2009)
  • [4] Standard 421 M-2006: VC-1 compressed video bitstream format and decoding process, (2006)
  • [5] Information Technology — Advanced Coding of Audio and Video, Part, 2, (2006)
  • [6] Information technology — High efficiency coding and media delivery in heterogeneous environments, Part 2: High efficiency video coding (2013), (2013)
  • [7] Fuldseth, G. Bjøntegaard, M. Budagavi, and V. Sze, “CE10: Core transform design for HEVC,” Doc. JCTVC-G495, Geneva. CH, Nov, (2011)
  • [8] Joshi R., Reznik Y., Karczewicz M., Efficient large size transforms for high performance video coding,, Proc. SPIE Appl. of Digital Image Process, XXXIII, Vol. 7798, 779831–1–7, (2010)
  • [9] Joshi R., Reznik Y., Sole J., Karczewicz M., Efficient 16 and 32-point transforms,” Doc. JCTVC-, 500, (2011)
  • [10] Alshina E., Alshin A., Kim I.-K., Topiwala P., CE10: Full-factorized core transform proposal by Samsung/FastVDO”, Doc. JCTVC-F251, Torino, (2011)