Hyperspectral image compression based on lapped transform and Tucker decomposition
作者：
Highlights：
• We design a hyperspectral image compression using lapped transform and Tucker decomposition.
• Each band of a hyperspectral image is decorrelated by a lapped transform.
• Transformed coefficients of various frequencies are rearranged in 3Dwavelet subband structures.
• 3D subbands are viewed as third-order tensors, decomposed by Tucker decomposition.
• The core tensor is encoded using a bit-plane coding algorithm into bit-streams.
摘要
Highlights•We design a hyperspectral image compression using lapped transform and Tucker decomposition.•Each band of a hyperspectral image is decorrelated by a lapped transform.•Transformed coefficients of various frequencies are rearranged in 3Dwavelet subband structures.•3D subbands are viewed as third-order tensors, decomposed by Tucker decomposition.•The core tensor is encoded using a bit-plane coding algorithm into bit-streams.
论文关键词：Hyperspectral image compression,Lapped transform,Tucker decomposition
论文评审过程：Received 28 November 2014, Revised 28 April 2015, Accepted 4 June 2015, Available online 14 June 2015, Version of Record 25 June 2015.
论文官网地址：https://doi.org/10.1016/j.image.2015.06.002
