We propose a novel approach for embedding novel views in a single JPEG image while preserving the perceptual fidelity of the modified JPEG image and the restored novel views. We adopt the popular novel view synthesis representation of multiplane images (MPIs). Our model first encodes 32 MPI layers (totally 128 channels) into a 3-channel JPEG image that can be decoded for MPIs to render novel views, with an embedding capacity of 1024 bits per pixel. We conducted experiments on public datasets with different novel view synthesis methods, and the results show that the proposed method can restore high-fidelity novel views from a slightly modified JPEG image. Furthermore, our method is robust to JPEG compression, color adjusting, and cropping. Our source code will be publicly available.

我们提出了一种新颖的方法，在保留修改后的JPEG图像和恢复的新视图的感知保真度的同时，在单个JPEG图像中嵌入新视图。我们采用了多平面图像（MPI）的流行新视图合成表示。我们的模型首先将32个MPI层（共128个通道）编码成一个3通道JPEG图像，可以解码MPI以渲染新视图，每像素具有1024位的嵌入容量。我们对公共数据集进行了实验，使用不同的新视图合成方法，结果表明所提出的方法可以从略微修改的JPEG图像中恢复高保真度的新视图。此外，我们的方法对JPEG压缩、颜色调整和裁剪具有鲁棒性。我们的源代码将公开。

将新视角嵌入单个JPEG图像中