去偏恢复算法：应用于全变差和非局部均值
On debiasing restoration algorithms: applications to total-variation and nonlocal-means
摘要：
图像恢复算法中的偏差可能妨碍进一步分析，通常当强度具有感兴趣的物理意义时，例如，在医学成像中。我们建议抑制一部分偏差-方法偏差-而保持不变的其他不可避免的部分-模型偏差。我们的去偏技术可以用于任何局部仿射估计，包括<$1正则化，各向异性全变差和一些非局部滤波器。
英文摘要：
Bias in image restoration algorithms can hamper further analysis, typically when the intensities have a physical meaning of interest, e.g., in medical imaging. We propose to suppress a part of the bias -- the method bias -- while leaving unchanged the other unavoidable part -- the model bias. Our debiasing technique can be used for any locally affine estimator including â1 regularization, anisotropic total-variation and some nonlocal filters.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
