3D modified wavelet block tree coding for hyperspectral images

Shrish Bajpai, Harsh Vikram Singh, Naimur Rahman Kidwai

Abstract


A novel wavelet-based efficient hyperspectral image compression scheme for low memory sensors has been proposed. The proposed scheme uses the 3D dyadic wavelet transform to exploit intersubband and intrasubband correlation among the wavelet coefficients. By doing the reconstruction of the transform image cube, taking the difference between the frames, it increases the coding efficiency, reduces the memory requirement and complexity of the hyperspectral compression schemes in comparison with other state-of-the-art compression schemes.


Keywords


Hyperspectral Image Compression, Set Partition Compression, Wavelet Transform, Transform Coding

Full Text:

PDF


DOI: http://doi.org/10.11591/ijeecs.v15.i2.pp1001-1008
Total views : 98 times

Refbacks

  • There are currently no refbacks.


Creative Commons License
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.

shopify stats IJEECS visitor statistics