Image Quality Assessment: A Reduced Reference Algorithm for the Super-resolution Reconstruction Image

2013 Third International Conference on Instrumentation, Measurement, Computer, Communication and Control Pub Date : 2013-09-21 DOI:10.1109/IMCCC.2013.43

Kang-Long Yu, Zhao-kui Meng, Ming-jie Sun

引用次数: 2

Abstract

The previous image quality assessment(IQA) methods request the same size of original and distorted image, not suitable for the super-resolution image. The effective of image size change has rarely been discussed. An improved reduced-reference image quality assessment (RRIQA) method based on the structural similarity image metric(SSIM) and scale invariant feature transform(SIFT) was put forward. The method is applicable to the super-resolution image, and considering more than one reference image. Experimental comparisons demonstrate the effectiveness of the proposed method.

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图像质量评估:一种超分辨率重建图像的简化参考算法

以往的图像质量评估方法要求原始图像和失真图像的大小相同，不适合超分辨率图像。图像尺寸变化的影响很少被讨论。提出了一种基于结构相似图像度量(SSIM)和尺度不变特征变换(SIFT)的改进的约简参考图像质量评价(RRIQA)方法。该方法适用于超分辨率图像，并考虑多幅参考图像。实验结果表明了该方法的有效性。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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2013 Third International Conference on Instrumentation, Measurement, Computer, Communication and Control

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