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Image resolution enhancement method using multiple interpolations

机译:使用多个插值的图像分辨率增强方法

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Image interpolation is a method of determining the value of new pixel coordinate in the process of image scaling. As a large-capacity image contents, interpolation algorithm is required to generate enhanced result image as high-speed. In this paper, fast multiple mixed image interpolation for image resolution enhancement is proposed. The proposed method estimates expected 12 errors from four subimage of input image and generate result image interpolation of combine expected error and input image. The experimental results demonstrate that PSNR increases maximum to a value of 2 dB, SSIM increases maximum to a value of 0.05, and the subjective quality is superior to any other compared methods. Moreover, it is known by algorithm running time comparison that the proposed method has better faster over three times when compared with conventional methods. The proposed method can be useful for application on image resolution enhancement.
机译:图像插值是一种确定图像缩放过程中新像素坐标的值的方法。作为大容量图像内容,需要插值算法以产生增强的结果图像作为高速。本文提出了一种用于图像分辨率增强的快速多混合图像插值。所提出的方法估计来自输入图像的四个子像的预期12个错误,并生成组合预期误差和输入图像的结果图像插值。实验结果表明,PSNR的最大值增加到2 dB的值,SSIM最大增加到0.05的值,主观质量优于任何其他比较方法。此外,通过算法运行时间比较已知,与传统方法相比,所提出的方法在三次上具有更好的时间更好。所提出的方法可用于在图像分辨率增强上应用。

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