免费视点图像生成与超分辨率

Norishige Fukushima, Y. Ishibashi
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引用次数: 5

摘要

本文提出了一种超分辨率的自由视点图像生成方法。在传统的最近邻插值和线性插值方法中,由于参考图像纹理不够,在放大虚拟视图上合成的图像往往分辨率较低。为了克服这个问题,我们对图像进行了超分辨率重建。超分辨率可以生成比输入图像更高的图像分辨率,然后将超分辨率与自由视点图像生成相结合。在实验中,我们使用包含11 × 11个对齐相机的相机阵列,每像素使用4 × 4个相机子集,通过超分辨率重建图像。实验结果表明,在有效范围内合成的图像比最近邻图像的PSNR高4.5 dB左右,比线性插值图像的PSNR高2.5 dB左右。
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Free viewpoint image generation with super resolution
In this paper, we propose a method of free viewpoint image generation with super resolution. In the conventional approaches, such as nearest neighbor and linear interpolation, the synthetic image on zoomed virtual view tends to have low resolution, because the reference images do not have enough textures. To overcome this problem, we reconstruct the image with super resolution. Super resolution can generate higher image resolution than the input image one, and then we combine super resolution with free viewpoint image generation. In the experiment, we use a camera array which contains 11 × 11 aligned cameras and use 4 × 4 cameras subset per pixel to reconstruct image by means of super resolution. The experimental results show that synthesized image in the effective range has about 4.5 dB higher PSNR than ones created by the nearest neighbor and 2.5 dB higher than ones created by the linear interpolation.
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