Video Denoising with Optical Flow Estimation

被引：6

作者：

Buades, Antoni ^{[1
]}

Lisani, Jose-Luis ^{[1
]}

机构：

[1] Univ Illes Balears, Palma De Mallorca, Spain

来源：

IMAGE PROCESSING ON LINE | 2018年 / 8卷

关键词：

video denoising; white Gaussian noise; motion compensation; optical flow;

D O I：

10.5201/ipol.2018.224

中图分类号：

TP31 [计算机软件];

学科分类号：

081202 ; 0835 ;

摘要：

In this paper we describe the implementation of state-of-the-art video denoising algorithm SPTWO [A. Buades, J.L. Lisani, M. Miladinovic, Patch Based Video Denoising with Optical Flow Estimation, IEEE Transactions on Image Processing 25 (6), 2573-2586]. This algorithm, inspired by image fusion techniques, uses motion compensation by regularized optical flow methods, which permits robust patch comparison in spatiotemporal volumes. Groups of similar patches are denoised using Principal Component Analysis, which ensures the correct preservation of fine texture and details.

引用

收藏

页码：142 / 166

页数：25

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