利用小波多尺度分量的图像配准实现从数字影院到超高清电视的超分辨率

Y. Matsuo, Shinya Iwasaki, Y. Yamamura, J. Katto
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引用次数: 6

摘要

图像超分辨率(SR)的质量受到噪声分量的影响而下降。但它对数字电影的高清晰度印象至关重要,不应被淘汰。因此,我们提出了一种将原始图像分成信号和噪声分量,分别合成分辨率增强信号和噪声分量的图像SR方法。利用信号分量与其小波多尺度分量之间的图像配准,对信号分量进行分辨率增强参数优化。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Super-resolution from digital cinema to ultra high definition television using image registration of wavelet multi-scale components
Quality of image super-resolution (SR) degrades by noise component. However it should not be eliminated because it is important for high definition impression for digital cinema. Therefore we propose an image SR method by synthesis of resolution-enhanced signal and noise components respectively after dividing an original image into signal and noise components. The signal component is resolution-enhanced using image registration between the signal component and its wavelet multi-scale components with resolution-enhanced parameter optimization.
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