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An improved super resolution reconstruction method based on initial value estimation

机译:一种改进的基于初始值估计的超分辨率重建方法

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In order to improve the spatial resolution of the super resolution reconstructed image, an improved image super resolution reconstruction algorithm is proposed. In iterative back projection (IBP) algorithm, the initial value is estimated through wavelet locally adaptive interpolation method, other than in the traditional interpolation way. Image super resolution reconstruction is performed on multiple simulated low resolution images, experimental results show that the initial value plays an important part in super resolution reconstruction algorithm. The reconstructed image achieves better visual effect and higher peak signal to noise ratio (PSNR). The IBP algorithm has less estimation error and faster convergent speed than other method. This initial value estimation method can also be extensively used in other iterative super resolution algorithms.
机译:为了提高超分辨率重建图像的空间分辨率,提出了一种改进的图像超分辨率重构算法。在迭代后投影(IBP)算法中,通过除了传统的插值方式之外的小波本地自适应插值方法估计初始值。图像超分辨率重建是在多模拟的低分辨率图像上进行的,实验结果表明初始值在超分辨率重建算法中起重要零件。重建的图像实现了更好的视觉效果和更高的峰值信号到噪声比(PSNR)。 IBP算法具有较少的估计误差和比其他方法更快的会聚速度。该初始值估计方法也可以广泛地用于其他迭代超分辨率算法。

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