VIDEO SIGNAL-DEPENDENT NOISE ESTIMATION VIA INTER-FRAME PREDICTION

被引：1

作者：

Li, Yanhao ^{[1
]}

Gardella, Marina ^{[1
]}

Bammey, Quentin ^{[1
]}

Nikoukhah, Tina ^{[1
]}

von Gioi, Rafael Grompone ^{[1
]}

Colom, Miguel ^{[1
]}

Morel, Jean-Michel ^{[1
]}

机构：

[1] Univ Paris Saclay, CNRS, Ctr Borelli, ENS Paris Saclay, Gif Sur Yvette, France

来源：

2022 IEEE INTERNATIONAL CONFERENCE ON IMAGE PROCESSING, ICIP | 2022年

关键词：

Noise estimation; image processing; video processing; noise level function; EXTENSION; CURVE;

D O I：

10.1109/ICIP46576.2022.9897605

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

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 Ponomarenko's method is extended by sorting pairs by their low-frequency energy and estimating noise in the high frequencies. Experiments on three datasets show that this method improves on the state of the art.

引用

页码：1406 / 1410

页数：5

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