基于帧间信号抑制的信号相关视频噪声估计

IF 0.7 Q4 COMPUTER SCIENCE, SOFTWARE ENGINEERING

Image Processing On Line Pub Date : 2023-11-09 DOI:10.5201/ipol.2023.420

Yanhao Li, Marina Gardella, Quentin Bammey, Tina Nikoukhah, Rafael Grompone von Gioi, Miguel Colom, Jean-Michel Morel

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引用次数: 0

摘要

我们提出了一种基于块的信号相关视频噪声估计方法，该方法利用帧间冗余从信号中分离噪声。分块匹配用于在两个信号相似的连续帧之间寻找分块对。然后将Ponomarenko等人的方法扩展到视频中，通过对低频能量进行排序并估计高频噪声。在无人机视频的真实数据集上进行了实验，验证了该算法在不同参数设置和不同噪声水平下的性能。分别分析了该方法的亚像素匹配和多尺度噪声估计的两种扩展。

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A Signal-dependent Video Noise Estimator Via Inter-frame Signal Suppression

We propose a block-based signal-dependent noise estimation method on videos, that leverages inter-frame redundancy to separate noise from signal. Block matching is applied to find block pairs between two consecutive frames with similar signal. Then the Ponomarenko et al. method is extended to video by sorting pairs by their low-frequency energy and estimating noise in the high frequencies. Experiments on a real dataset of drone videos show its performance for different parameter settings and different noise levels. Two extensions of the proposed method using subpixel matching and for multiscale noise estimation are respectively analyzed.

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来源期刊

Image Processing On Line COMPUTER SCIENCE, SOFTWARE ENGINEERING-

CiteScore

1.90

自引率

0.00%

发文量

审稿时长

16 weeks

期刊介绍： IPOL publishes relevant image processing and image analysis algorithms emphasizing the role of mathematics as a source for algorithm design. The publication is as precise and comprehensive as possible. To this aim, the publication of each algorithm is fourfold and includes: a manuscript containing the detailed description of the published algorithm, of its bibliography, along with commented examples and a failure case analysis; a software implementation of the algorithm in C, C++ or Matlab; an online demo, where the algorithm can be tested on data sets uploaded by the users; an archive containing extensive online experiments. The restricted goal of IPOL is to make accessible the algorithms in their uttermost explicit form to the scientific community. The publication of an algorithm by IPOL is different from, and complementary to a classic journal publication.