星载JPEG-LS图像压缩质量评价研究

刘向增; 范立佳; 徐雪灵; 薛洁鹏; 苗启广

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星载JPEG-LS图像压缩质量评价研究

图像处理 | 更新时间：2026-09-04

- 星载JPEG-LS图像压缩质量评价研究
- Research on quality evaluation of spaceborne JPEG-LS lmage compression algorithm
- 微电子学与计算机 2021年38卷第9期页码：45-53
- 作者机构：
  
  1. 西安电子科技大学计算机科学与技术学院,陕西,西安,710075
  2. 中国空间技术研究院机构遥感卫星总体部,北京,100081
- 作者简介：
- 基金信息：
  
  国家重点研发计划 B019030051陕西省自然科学基金 2020JM-195
- DOI：
  中图分类号：
- 纸质出版：2021
- 稿件说明：
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刘向增, 范立佳, 徐雪灵, 薛洁鹏, 苗启广. 星载JPEG-LS图像压缩质量评价研究[J]. 微电子学与计算机, 2021, 38(9): 45-53.

LIU Xiangzeng, FAN Lijia, XU Xueling, et al. Research on quality evaluation of spaceborne JPEG-LS lmage compression algorithm[J]. 2021, 38(9): 45-53.
刘向增, 范立佳, 徐雪灵, 薛洁鹏, 苗启广. 星载JPEG-LS图像压缩质量评价研究[J]. 微电子学与计算机, 2021, 38(9): 45-53. DOI：

LIU Xiangzeng, FAN Lijia, XU Xueling, et al. Research on quality evaluation of spaceborne JPEG-LS lmage compression algorithm[J]. 2021, 38(9): 45-53. DOI：

摘要

为评价星载JPEG-LS压缩算法对图像质量的影响，并为在轨压缩比的设置提供技术支撑，以高分多模卫星的应用为背景，从典型场景数据的压缩质量客观评价及典型任务的应用效果两方面构建图像压缩评测模型.通过对压缩前后图像质量的二维失真度、光谱失真度、空间失真度等客观指标的分析，以及对图像分类、目标检测、特征提取与匹配等典型应用效果的比较，为压缩算法对图像质量的影响提供客观性指标统计数据及应用性效果对比数据支撑，证实该算法可满足用户需求.同时为用户具体应用需求提供了建议，也为在轨影像数据市场的合理化分配与拓展提供了支持.

Abstract

In order to evaluate the influence of on-board JPEG-LS compression algorithm on image quality

and provide technical support for the setting of on-orbit compression ratio

with the application of high-resolution multi-mode satellites as the background

the image compression evaluation model is built from two aspects: objective evaluation of compression quality of typical scene data and application effects of typical tasks. Through the analysis of objective indicators such as two-dimensional distortion

spectral distortion

and spatial distortion of image quality before and after compression

and comparison of typical application effects such as image classification

target detection

feature extraction and matching

which provides objective index statistical data and application effect comparison data support for the impact of compression algorithms on image quality

confirming that the algorithm can meet user needs. At the same time

it provides suggestions for users specific application needs

and supports the rational distribution and expansion of the on-orbit image data market.

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Keywords

references

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