An Efficient Learned Image Source Coding Method Based on Multidimensional High-Order Nonlinear Transform

LI Chao; TAN Wen; MENG Fanyang; LIU Wei; LIANG Yongsheng

doi:10.11959/j.issn.1000-436x.TXXB260011

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An Efficient Learned Image Source Coding Method Based on Multidimensional High-Order Nonlinear Transform

更新时间：2026-04-07

- An Efficient Learned Image Source Coding Method Based on Multidimensional High-Order Nonlinear Transform
- Journal on Communications (2026)
- 作者机构：
  
  1.哈尔滨工业大学（深圳）信息科学与技术学院，广东深圳 518060
  2.鹏城国家实验室宽带通信部，广东深圳 518055
  3.深圳技术大学大数据与互联网学院，广东深圳 5181182
  4.深圳信息职业技术大学计算机与软件学院，广东深圳 518172
- 作者简介：
- 基金信息：
  
  The National Natural Science Foundation of China(62571160;62031013);The Guangdong Province Key Construction Discipline Scientific Research Capacity Improvement Project(2022ZDJS117);Engineering Technology R&D Center of Guangdong Provincial Universities(2024GCZX004)
- DOI：10.11959/j.issn.1000-436x.TXXB260011
  CLC： TP183
- Received：05 January 2026，
  
  Revised：2026-04-03，
  
  Accepted：07 April 2026，
- 稿件说明：
移动端阅览
LI Chao, TAN Wen, MENG Fanyang, et al. An Efficient Learned Image Source Coding Method Based on Multidimensional High-Order Nonlinear Transform[J/OL]. Journal on Communications, 2026.
DOI：

LI Chao, TAN Wen, MENG Fanyang, et al. An Efficient Learned Image Source Coding Method Based on Multidimensional High-Order Nonlinear Transform[J/OL]. Journal on Communications, 2026. DOI： 10.11959/j.issn.1000-436x.TXXB260011.

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An Efficient Learned Image Source Coding Method Based on Multidimensional High-Order Nonlinear Transform

DOI：10.11959/j.issn.1000-436x.TXXB260011