基于水准线的图像恢复

3rd International Symposium on Image and Signal Processing and Analysis, 2003. ISPA 2003. Proceedings of the Pub Date : 2003-09-18 DOI:10.1109/ISPA.2003.1296383

Ling Qi, Niu Feng, Li Zhengkai

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引用次数: 0

摘要

自然界中的图像很少能被完整地看到，它们会被其他东西遮挡。为了实现图像的恢复，需要使用图像恢复技术。传统的方法是基于插值的，在遮挡较大的情况下效果不佳。本文在现有理论的基础上，实现了一种变分方法:基于等高线的图像恢复。该方法模拟了人类视觉的恢复能力，可以重建图像中的边缘特征。实验结果表明，该方法能较好地恢复大遮挡区域的信息，且耗时较短。该方法可用于旧照片的复原，并应用于图像压缩中。

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Image restoration based on level lines

Images in nature can rarely be whole seen and they are occluded by something else. To get recovery of images, it need image restoring technology. Traditional methods are based on interpolation, which is not good if the occlusion is big. This paper is based on an existing theory and realizes a variational method: image restoration based on level lines. This approach simulates restoring ability of human vision, which can reconstruct edge features in images. Experiment results show this method can restore the information in big occluded area fairly well, moreover it spends time quite little. This method can be used to restore old photos and applied into image compression.

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3rd International Symposium on Image and Signal Processing and Analysis, 2003. ISPA 2003. Proceedings of the

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