用块Toeplitz矩阵补全恢复不完全路径跟踪图像

Ping Liu, Hangyu Ji
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引用次数: 0

摘要

提出了一种新的矩阵补全方法,利用分块Toeplitz矩阵(BTM)恢复不完整路径跟踪图像。BTM提供了一种有效的数值方法,可以从输入图像的单个补丁中创建低秩矩阵,从而可以使用矩阵补全来恢复补丁中的缺失像素。采用加权核范数最小化和参数调整策略求解矩阵补全。以前的方法为矩阵补全创建一个低秩矩阵,在每次迭代优化时使用图像上的类似补丁。我们的方法通过使用BTM避免了类似的补丁查找和复杂的初始化步骤,提高了矩阵补全的整体性能。我们展示了不完整的路径跟踪图像和部分损坏或遮挡的照片中缺失像素的有效恢复。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Matrix Completion using Block Toeplitz Matrix for Recovering an Incomplete Path-Tracing Image
This paper introduces a novel matrix completion method to recover an incomplete path tracing image using a block Toeplitz matrix (BTM). The BTM provides an efficient numerical approach to create a low rank matrix from a single patch from an input image, which enables the recovery of missing pixels in the patch using matrix completion. Matrix completion is solved using weighted nuclear norm minimization with a parameter adjustment strategy. Previous approaches create a low rank matrix for matrix completion using similar patches across an image for every iteration of the optimization. Our method avoids this similar patch finding and the sophisticated initialization steps by using the BTM, improving the overall performance of matrix completion. We show efficient recovery of missing pixels of an incomplete path tracing image and partially damaged or occluded photograph.
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