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Objective image quality evaluation model for JPEG2000 coded images based on edge information measures

机译:基于边缘信息测度的JPEG2000编码图像的客观图像质量评估模型

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In this paper, a no-reference objective quality assessment model is proposed for JPEG2000 coded images. It is well established that human visual system is very sensitive to edge information; consequently we believe that perceptual artifacts of any image are strongly dependent on local features such as edge and non-edge areas. Therefore edge and non-edge area based distortions are evaluated in this model. Performance of the model is evaluated by using the subjective experiment results of the LIVE Texas's database. The performance is also compared with other existing methods and the result is inevitably sufficient.
机译:本文针对JPEG2000编码图像提出了一种无参考客观质量评估模型。众所周知,人类视觉系统对边缘信息非常敏感。因此,我们认为任何图像的感知伪像都强烈依赖于局部特征,例如边缘和非边缘区域。因此,在此模型中评估了基于边缘和非边缘区域的变形。通过使用LIVE Texas数据库的主观实验结果评估模型的性能。还将性能与其他现有方法进行比较,结果必然是足够的。

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