Hyperspectral Image Lossless Compression Algorithm Based on Hybrid Transform and 3D-SPHIT

CHAI Yan; JI Wen-ping; SHEN Lan-sun

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Hyperspectral Image Lossless Compression Algorithm Based on Hybrid Transform and 3D-SPHIT

更新时间：2025-07-16

- Hyperspectral Image Lossless Compression Algorithm Based on Hybrid Transform and 3D-SPHIT
- Acta Electronica Sinica Vol. 35, Issue 9, Pages: 1770-1773(2007)
- 作者机构：
  
  北京工业大学信号与信息处理研究室,北京,100022
- 作者简介：
- 基金信息：
- DOI：
  CLC： TP751.1
- Published：2007
- 稿件说明：
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CHAI Yan, JI Wen-ping, SHEN Lan-sun. Hyperspectral Image Lossless Compression Algorithm Based on Hybrid Transform and 3D-SPHIT[J]. Acta Electronica Sinica, 2007, 35(9): 1770-1773.
DOI：

CHAI Yan, JI Wen-ping, SHEN Lan-sun. Hyperspectral Image Lossless Compression Algorithm Based on Hybrid Transform and 3D-SPHIT[J]. Acta Electronica Sinica, 2007, 35(9): 1770-1773. DOI：

摘要

利用高光谱图像空间、谱间相关性不同的特点

本文提出了一种基于混合整型变换和三维分层树集合划分算法(3D-SPIHT)的高光谱图像无损压缩方法

首先将波段进行分组

针对每一分组

采用不同的整型变换技术去相关

然后对变换系数进行系数重组

采用高效的基于小波系数特点的3D-SPIHT编码方法得到嵌入式码流

具有一定的抗误码性能.实验结果表明

该方法能够有效的去除高光谱图像的空间和谱间相关性

与现有的国际标准JPEG-LS、JPEG2000和基于三维离散余弦变换(3D-DCT)或三维离散小波变换(3D-DWT)的编码方法相比

压缩后的平均比特率均有明显降低.

Abstract

Using the spatial and spectral correlation within the hyperspectral images

a lossless compression algorithm is presented.Band grouping is used to divide images into different groups.Different hybrid integer transform based on spatial/spectral correlation is taken for each group and to achieve progressive bit-stream

coefficients are reorganized to obtain the same structure as wavelet transformation.Transformation coefficients are then coded by bit-plane-based 3D-SPIHT coding algorithm.Experimental results show that the proposed method can remove the spatial and spectral redundancy more efficiently than JPEG-LS

JPEG2000 and the algorithms based on integer 3D-DCT or 3D-DWT.With band grouping and progressive bit-stream

the proposed method can achieve better error resilient performance.

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Related Institution

北京工业大学信号与信息处理研究室

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