论文标题
HAAR小波，梯度和近似电视正则化
Haar Wavelets, Gradients and Approximate TV Regularization
论文作者
论文摘要
We show how total variation regularization of images in arbitrary dimensions can be approximately performed by applying appropriate shrinkage to some Haar wavelets coefficients.该方法直接适用于小波系数，因此适合于计算机断层扫描中大量的应用。
We show how total variation regularization of images in arbitrary dimensions can be approximately performed by applying appropriate shrinkage to some Haar wavelets coefficients. The approach works directly on the wavelet coefficients and is therefore suited for the application on large volumes from computed tomography.
