A ghosting artifact detector for interpolated image quality assessment

机译：重影伪影检测器，用于插值图像质量评估

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We present a no-reference image quality metric for image interpolation. The approach is capable of detecting blurry regions as well as ghosting artifacts, e.g., in image based rendering scenarios. Based on the assumption that ghosting artifacts can be detected locally, perceived visual quality can be predicted from the amount of regions that are affected by ghosting. Because the approach does not require any reference image, it is very suitable, e.g., for assessing quality of image-based rendering techniques in general settings.

机译：我们提出用于图像插值的无参考图像质量度量。该方法能够例如在基于图像的渲染场景中检测模糊区域以及重影伪影。基于可以在局部检测到重影伪影的假设，可以从受重影影响的区域数量中预测感知到的视觉质量。由于该方法不需要任何参考图像，因此非常适合，例如，在常规设置中评估基于图像的渲染技术的质量。

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《2010 IEEE 14th International Symposium on Consumer Electronics》|2010年|P.1-6|共6页
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Berger Kai; Lipski Christian; Linz Christian; Sellent Anita; Magnor Marcus;
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中图分类光电子技术的应用;
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4. Parallel acquisition techniques for accelerated volumetric interpolated breath-hold examination magnetic resonance imaging of the upper abdomen: assessment of image quality and lesion conspicuity. [J] . Vogt FM, Antoch G, Hunold P, Journal of magnetic resonance imaging: JMRI . 2005,第4期

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5. A ghosting artifact detector for interpolated image quality assessment [C] . Kai Berger, Christian Lipski, Christian Linz, Institute of Electrical and Electronics Engineers International Symposium on Consumer Electronics . 2010

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6. Investigating phase and artifacts in MRI: Phase unwrapping, motional deghosting and fast dynamic flow imaging. [D] . Chavez, Sofia Emilia. 2000

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A ghosting artifact detector for interpolated image quality assessment

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