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Elimination of Distorted Images Using the Blur Estimation at the Automatic Registration of Meeting Participants

机译:会议参与者自动注册时使用模糊估计消除失真的图像

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摘要

The methods for estimation of blur and other quality metrics of digital images are discussed. The classification of modern methods of blur estimation used for real-time systems is presented. Several methods of image patch segmentation were applied for enhancement of the processing speed and reliability of image quality assessment. The proposed method of preliminary extraction of face area on the image and estimation of its blur was successfully used for elimination of distorted images before the face recognition stage in a system of automatic registration of participants in a smart meeting room.
机译:讨论了模糊估计和数字图像的其他质量指标的方法。介绍了用于实时系统的现代模糊估计方法的分类。应用了几种图像块分割方法来提高图像质量评估的处理速度和可靠性。在智能会议室中自动注册参与者的系统中,所提出的图像上面部区域的初步提取及其模糊估计的方法已成功用于消除面部识别阶段之前失真的图像。

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