[IPOL announce] new article: A Signal-dependent Video Noise Estimator Via Inter-frame Signal Suppression

[announcements about the IPOL journal]

A new article is available in IPOL: https://www.ipol.im/pub/art/2023/420/

Yanhao Li, Marina Gardella, Quentin Bammey, Tina Nikoukhah, Rafael 
Grompone von Gioi, Miguel Colom, and Jean-Michel Morel,
A Signal-dependent Video Noise Estimator Via Inter-frame Signal 
Suppression,
Image Processing On Line, 13 (2023), pp. 280–313.
https://doi.org/10.5201/ipol.2023.420


Abstract

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.