Image restoration with triangular orthogonal wavelets
Image restoration with triangular orthogonal wavelets
复制标题
三角正交小波图像恢复
DOI：
10.1109/icwapr.2015.7295937
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发表时间：
2015
期刊：
影响因子：
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通讯作者：
K. Fujinoki
中科院分区：
文献类型：
--
作者：
K. Fujinoki
本文研究了利用三角小波进行图像反卷积的问题。利用高斯模糊核和加性高斯白色噪声生成简单的模糊图像。二维正交Haar小波的三角形格子，它给出了稀疏和各向同性表示的图像，被选为一个字典。利用迭代收缩阈值算法，针对从含噪模糊图像中恢复原始图像的问题进行了一些数值实验。我们表明，三角形小波比传统的Haar小波变换的结果更好的性能。
In this paper, an image deconvolution problem using triangular wavelets is addressed. A simple blurred image is generated by the Gaussian-based blur kernel and additive Gaussian white noise. Two-dimensional orthogonal Haar wavelets on a triangular lattice, which gives sparse and isotropie representations of images, are selected as a dictionary. Using the iterative shrinkage threshold algorithm, some numerical experiments are carried out for the problem of recovering the original image from the noisy blurred image. We show that the triangular wavelets result in better performance than the conventional Haar wavelet transform.