Compression and Privacy of Hyperspectral Images
Bruno Carpentieri · 2022 International Conference on Electrical, Computer, Communications and Mechatronics Engineering (ICECCME) · 2022
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.