Compression and Privacy of Hyperspectral Images

2022 International Conference on Electrical, Computer, Communications and Mechatronics Engineering (ICECCME) Pub Date : 2022-11-16 DOI:10.1109/ICECCME55909.2022.9988311

B. Carpentieri

引用次数: 1

Abstract

This paper presents a unified approach to the compression and privacy of Hyperspectral Images presenting a lossless compression method based on linear prediction and the application of watermarks to a Region of Interest (ROI) of an image. The proposed methods are experimentally evaluated.

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高光谱图像的压缩和隐私

本文提出了一种统一的高光谱图像压缩和保密方法，提出了一种基于线性预测和图像感兴趣区域(ROI)水印应用的无损压缩方法。实验验证了所提出的方法。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

2022 International Conference on Electrical, Computer, Communications and Mechatronics Engineering (ICECCME)

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