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Efficient image processing algorithms for enhanced desired gray-scale images

机译:用于增强所需灰度图像的高效图像处理算法

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Abstract: In this paper, we shall present a new method for generating enhanced images with a desired gray value distribution at real-time speeds. Unlike most conventional methods of image enhancement, the proposed approach allows the user to specify the gray value distribution of the enhanced image. We shall first discuss a generic model of signal transformation, and implement it in an off-the-shelf hardware for analog to digital conversion of image signals. Nonidealities of this hardware will also be considered. Simplifications of this general model are presented to gain computational speeds under 10 ms. The method also provides a range of permissible gray values that can be selected by the user. If the selections are outside the permissible range, the method provides guidelines to reconfigure the imaging conditions to generate the desired enhanced image. An analysis of measurement and quantization errors with constant and gaussian distributions of errors is also considered. Extensive experiments on a set of industrial parts for character recognition are conducted.!6
机译:摘要:在本文中,我们将提出一种新方法,用于以实时速度生成具有所需灰度值分布的增强图像。与大多数传统的图像增强方法不同,所提出的方法允许用户指定增强图像的灰度值分布。我们将首先讨论信号转换的通用模型,并将其在用于图像信号模数转换的现成硬件中实现。也将考虑该硬件的非理想性。给出了该通用模型的简化形式以获取10 ms以下的计算速度。该方法还提供了可由用户选择的一定范围的灰度值。如果选择超出允许范围,则该方法将提供准则以重新配置成像条件以生成所需的增强图像。还考虑了具有恒定和高斯误差分布的测量和量化误差分析。在用于字符识别的一组工业零件上进行了广泛的实验!6

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