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Blind Deconvolution for Image Restoration Based on Text Characteristic

机译:基于文本特征的图像恢复的盲解卷积

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Along with the rapid development of computer technology and digital image processing application, words are frequently shown as images too. For little priori knowledge, blind image restoration should be used for blurry text image. We improve the blind deconvolution algorithm, one of blind image restoring methods, combining the text-specific bimodal characteristic about histogram with blind deconvolution method by means of probability and statistics theory. The improved algorithm increases the computation speed and optimizes the visual effect of recovery text image largely. It is verified that the advanced image restoration algorithm has better recovery capacity and certain practical value through the analysis and simulation of some typical experiments.
机译:随着计算机技术和数字图像处理应用的快速发展,单词通常也显示为图像。对于少于先验知识,盲目图像恢复应用于模糊文本图像。我们通过概率和统计理论将直方图的文本特异性双峰特性组合了盲目图像恢复方法之一。改进的算法增加了计算速度并在很大程度上优化了恢复文本图像的视觉效果。通过分析和模拟一些典型实验,验证了先进的图像恢复算法具有更好的恢复能力和某些实用值。

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