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Preprint Sep 2026

Gaussian Image Steganography via Parameter-Domain Keyed Embeddings

2D Gaussian-based image representation is becoming increasingly popular, and our work proposes a new approach to steganography by embedding information within Gaussian parameters rather than image pixels. We first fit the parameters of this representation to the target image and employ a secret key to select a subset o...

Tong-Lu-;-Lin-Zhou-Yu-Xiang Wu, Run-Ze Cheng, Xiao-Yue Fan et al. · 0 citations
#machine learning Preprint Sep 2026

Hologram Representation via Quadratic Phase Gaussian Splatting

We introduce Complex-Valued Quadratic Phase Gaussian (CVQPG), a novel hologram representation method that augments each 2D Gaussian primitive with a quadratic phase profile controlled by a learnable curvature parameter. Against the planar Gaussian baseline, CVQPG improves the average PSNR of holographic reconstructions...

Hao-Long Wang, Yicheng Zhan, K. Akşit et al. · 0 citations

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