PAN source image data reconstruction based on data hiding

Mengyao Liu; Quan Zhou; Xiaosong Zheng; Yi Zhang; Yanlang Hu; Juanni Liu; Jiayuan Wei

doi:10.1117/12.3021428

25 March 2024 PAN source image data reconstruction based on data hiding

Mengyao Liu, Quan Zhou, Xiaosong Zheng, Yi Zhang, Yanlang Hu, Juanni Liu, Jiayuan Wei

Proceedings Volume 13089, Fifteenth International Conference on Graphics and Image Processing (ICGIP 2023); 1308905 (2024) https://doi.org/10.1117/12.3021428
Event: Fifteenth International Conference on Graphics and Image Processing (ICGIP 2023), 2023, Suzhou, China

Abstract

Although the fusion of Panchromatic(PAN) images and Multi-spectral(MS) images can improve the resolution of remote sensing MS images, the joint adjustments of PAN images and MS images will lead to the original data being completely lost. With the requirement of on-orbit image processing and multiple applications, obtaining fusion images while retaining the source images has become a problem that must be considered. To deal with the problem that the original data is lost after fusion, this proposed method embeds the PAN image object and compression data into the fused image. The experimental results show that the proposed method can reconstruct the object data of the PAN image losslessly and reconstruct the entire PAN image in high quality. The fused image indicators also have no impact.

(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Mengyao Liu, Quan Zhou, Xiaosong Zheng, Yi Zhang, Yanlang Hu, Juanni Liu, and Jiayuan Wei "PAN source image data reconstruction based on data hiding", Proc. SPIE 13089, Fifteenth International Conference on Graphics and Image Processing (ICGIP 2023), 1308905 (25 March 2024); https://doi.org/10.1117/12.3021428

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