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An image blur estimation scheme for severe out of focus images while scanning linear barcodes

机译:扫描线性条形码时严重出焦图像的图像模糊估计方案

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In recent years, charge coupled device are used for scanning linear barcode. The main drawback of CCD is, it does not have the potential to handle the out-of-focus images. In this project, low resolution images with severe out-of-focus blur is resolved in spatial domain. This work is based on dynamic template matching scheme which make use of directed graphical model in spatial domain. The directed graphical model is used to determine the relationship between state variable from blurred waveform at specific blur level and observation sequence. A varying program based inference algorithm is used to recover the optimal state sequence and hence the system works in real-time.
机译:近年来,电荷耦合器件用于扫描线性条形码。 CCD的主要缺点是,它没有能够处理焦点图像。在该项目中,在空间域中解决了具有严重焦点模糊的低分辨率图像。这项工作基于动态模板匹配方案,在空间域中使用定向图形模型。定向图形模型用于确定特定模糊级别和观察序列的模糊波形的状态变量之间的关系。基于程序的基于程序推断算法用于恢复最佳状态序列,从而实时工作。

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