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首页> 外文期刊>Journal of information and computational science >Half Blind Restoration Algorithm of Building Image Based on Total Variation
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Half Blind Restoration Algorithm of Building Image Based on Total Variation

机译:基于总变化的建筑图像半盲恢复算法

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Based on restoration theories, this paper mainly studies the blind restoration method of motion-blurred image, including a joint identification method and a priori fuzzy identification method. For the half-blind restoration problem, a total variation model is provided and a alternate iteration method based on split-Bregman algorithm is proposed to solve this model. By this new model, the parameters in PSF and the real image can be estimated simultaneously. Our method is demonstrated effective with numerical simulations by the restoration of a motion-blurred building image.
机译:基于恢复理论,本文主要研究运动模糊图像的盲恢复方法,包括联合识别方法和先验模糊识别方法。针对半盲恢复问题,提出了一种总变化模型,并提出了一种基于split-Bregman算法的交替迭代方法。通过这种新模型,可以同时估计PSF和真实图像中的参数。通过运动模糊的建筑物图像的恢复,我们的方法通过数值模拟得到了有效的证明。

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