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Directionality of image plays a very important role in human visual system and it is important prior information of image. In this paper we propose a weighted directional total variation model to reconstruct image from its finite number of noisy compressive samples. A novel self-adaption, texture preservation method is designed to select the weight. Inspired by majorization-minimization scheme, we develop an efficient algorithm to seek the optimal solution of the proposed model by minimizing a sequence of quadratic surrogate penalties. The numerical examples are performed to compare its performance with four state-of-the-art algorithms. Experimental results clearly show that our method has better reconstruction accuracy on texture images than the existing scheme. 相似文献
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本文从对象的基本机制和特征出发,应用面向对象方法对工程图进行了较为系统的分析,最后提出了一个对象化的工程图模型。 相似文献
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从沥青混合料的拌制控制、混合料的运输控制、面层平整度的控制和沥青路面早期破损的控制几个方面分析了沥青路面施工中的质量控制方法。 相似文献
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