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A Real Time Character Image Enhancement and Interpolation Algorithm for Low-resolution Image Sensor

机译:低分辨率图像传感器的实时性能图像增强与插值算法

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As known, the image captured from low-resolution image sensor has worse vision effect. Especially, the character image has blurred strokes, diffused lines as well as lower grey difference with background. In order to identify the character, we should effectively improve the character image resolution and definition by achieving real time character image processing. It is highly important for character image effect to choose proper image processing algorithm. At the same time, the processing progress maybe take too long time to be suitable for real time image processing. Based on analyzing features of character image, a rapid real time character image enhancement and interpolation method is introduced in this paper. The practical result has showed that the character image definition and revolution has been improved by almost double compared to the original image, and the character image stability has been greatly enhanced.
机译:如已知的,从低分辨率图像传感器捕获的图像具有更差的视觉效果。特别是,角色图像具有模糊的冲程,扩散线以及与背景下的灰色差异。为了识别角色,我们应该通过实现实时性格图像处理来有效地改善字符图像分辨率和定义。对于字符图像效应来选择适当的图像处理算法非常重要。同时,处理进展可能需要太长的时间来适合实时图像处理。基于对字符图像的分析特征,本文介绍了一种快速实时性格图像增强和插值方法。实际结果表明,与原始图像相比,特性图像定义和旋转已经提高了几乎双倍,并且具有大大提高了字符图像稳定性。

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