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JPEG Color Barcode Images Analysis: a Camera Phone Capture Channel Model with Auto-Focus

机译:JPEG彩色条形码图像分析:具有自动对焦功能的照相手机捕获通道模型

摘要

As camera phones have permeated into our everyday lives, two dimensional (2D) barcode has attracted researchers and developers as a cost-effective biquitous computing tool. A variety of 2D barcodes and their applications have been developed. Often, only monochrome 2D barcodes are used due to their robustness in an uncontrolled operating environment of camera phones. However, we are seeing an emerging use of color 2D barcodes for camera phones. Nonetheless, using a greater multitude of colors introduces errors that can negatively affect the robustness of barcode reading. This is especially true when developing a 2D barcode for camera phones which capture and store these barcode images in the baseline JPEG format. This paper presents one aspect of the errors introduced by such camera phones by modeling the camera phone capture channel for JPEG color barcode images wherein there is camera auto-focus.
机译:随着照相手机渗透到我们的日常生活中,二维(2D)条形码吸引了研究人员和开发人员,成为一种经济高效的双向计算工具。已经开发了多种二维条形码及其应用。通常,由于单色2D条形码在照相手机不受控制的操作环境中的坚固性,因此通常只使用它们。但是,我们看到彩色2D条形码正在用于照相手机。但是,使用更多的颜色会导致错误,这些错误可能会对条形码读取的稳定性造成负面影响。当开发用于照相手机的2D条形码时尤其如此,该二维电话以基线JPEG格式捕获和存储这些条形码图像。本文通过对具有照相机自动对焦功能的JPEG彩色条形码图像的照相手机捕获通道进行建模,介绍了这类照相手机引入的错误的一个方面。

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