Differential Video Noise Estimation

Zhu, Lin-Fan; Pei-xia, XU

doi:10.1109/icct.2006.341753

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2022

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“…Temporal information is further employed to improve accuracy and robustness. In [13], the ideas presented in [14] are extended to the differential image obtained from two consecutive frames. They construct a homogeneity measure using high-pass operators along several directions to select the most homogeneous blocks for final estimation.…”

Section: Related Workmentioning

confidence: 99%

Video Signal-Dependent Noise Estimation via Inter-Frame Prediction

Gardella

Bammey

et al. 2022

2022 IEEE International Conference on Image Processing (ICIP)

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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.

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Section: Related Workmentioning

confidence: 99%