Robust Noise Filtering in Image Sequences

TL;DR

This paper introduces a robust noise filtering method for image sequences using coupled spatial and temporal anisotropic diffusion, effectively removing noise while preserving important discontinuities.

Contribution

It proposes a novel adaptive smoothing technique based on nonlinear diffusion equations for noise removal in image sequences.

Findings

Effective noise reduction in image sequences.

Preservation of spatial and temporal details.

Robustness to non-stationary noise.

Abstract

Image sequences filtering have recently become a very important technical problem especially with the advent of new technology in multimedia and video systems applications. Often image sequences are corrupted by some amount of noise introduced by the image sensor and therefore inherently present in the imaging process. The main problem in the image sequences is how to deal with spatio-temporal and non stationary signals. In this paper, we propose a robust method for noise removal of image sequence based on coupled spatial and temporal anisotropic diffusion. The idea is to achieve an adaptive smoothing in both spatial and temporal directions, by solving a nonlinear diffusion equation. This allows removing noise while preserving all spatial and temporal discontinuities