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Objective model for perceptual sharpness in image sequences

机译:图像序列中感知清晰度的客观模型

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摘要

Currently, the analog video world is in transition to digital video. Along with that transition is the need for analysis techniques that can be applied to digital image sequences. In particular, objective techniques that can analyze the digital image sequences in a way that reflects human perception is being pursued. These objective measures can be valuable in many areas including quality assessment. Currently, subjective assessment of video is time consuming and expensive. Therefore, an objective assessment that accurately reflects the human visual system cna be valuable. This apper examines the perceived quality of shifting and blurred sequences. It introduces an objective quality measure for assessing the sharpness in digital image sequences. The model is compared to two other objective measures and a subjective assessment.
机译:当前,模拟视频世界正在向数字视频过渡。伴随着这种转变,需要可应用于数字图像序列的分析技术。特别地,正在寻求能够以反映人类感知的方式分析数字图像序列的客观技术。这些客观措施在包括质量评估在内的许多领域中都可能是有价值的。当前,视频的主观评估既耗时又昂贵。因此,准确反映人类视觉系统的客观评估是有价值的。该研究人员检查了移位和模糊序列的感知质量。它引入了一种客观的质量度量来评估数字图像序列的清晰度。该模型与其他两个客观指标和一个主观评估进行了比较。

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