Hyperspectral Image Lossless Compression Based on Optimal Recursive Bidirection Prediction

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Hyperspectral Image Lossless Compression Based on Optimal Recursive Bidirection Prediction

Article | 更新时间：2020-08-12

- Hyperspectral Image Lossless Compression Based on Optimal Recursive Bidirection Prediction
- Optics and Precision Engineering Vol. 17, Issue 11, Pages: 2864-2870(2009)
- 作者机构：
  
  湖南长沙国防科技大学理学院
- 作者简介：
- 基金信息：
- DOI：
  CLC： TP751
- Received：28 July 2008，
  
  Revised：07 December 2008，
  
  Published Online：25 November 2009，
  
  Published：25 November 2009
- 稿件说明：
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孙蕾. 最佳递归双向预测的高光谱图像无损压缩[J]. 光学精密工程, 2009,17(11):2864-2870

Hyperspectral Image Lossless Compression Based on Optimal Recursive Bidirection Prediction[J]. Optics and precision engineering, 2009, 17(11): 2864-2870.
孙蕾. 最佳递归双向预测的高光谱图像无损压缩[J]. 光学精密工程, 2009,17(11):2864-2870 DOI：

Hyperspectral Image Lossless Compression Based on Optimal Recursive Bidirection Prediction[J]. Optics and precision engineering, 2009, 17(11): 2864-2870. DOI：

摘要

提出一种基于最佳递归双向预测的高光谱图像无损压缩算法。首先根据高光谱图像各波段的谱间相关系数，选择相应的压缩方式。谱间相关系数小于0.9的波段使用bzip2模式进行压缩。谱间相关系数大于0.9的波段，对参考波段进行单波段最佳前向预测，非参考波段采用最佳递归双向预测，并对预测残差采用JPEG-LS模式压缩。对AVIRIS高光谱图像进行压缩，实验结果表明该算法的平均压缩比达到3.217倍，优于其他无损压缩算法0.09-1.374倍。

Abstract

This paper presents a hyperspectral image lossless compression algorithm based on optimal recursive bidirection prediction. At first

different compression model for each band is chosen according to its spectral correlation factor. If the spectral correlation factor is less than 0.9

bzip2 compression model is chosen. Otherwise

single band optimal previous prediction is performed on the reference band and optimal recursive bidirection prediction is performed on the non-reference band and the residual images are coded by JPEG-LS. Our experimental findings are reported using the algorithms designed in this paper applied to Airborne Visible/Infrared Imaging Spectrometer (AVIRIS) data. The result shows that the average compression ratio is 3.217

which is 0.09-1.374 higher than the other lossless compression algorithms.

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