# Enhancing Patch-Based Methods with Inter-frame Connectivity for Denoising Multi-frame Images

## TL;DR

This paper introduces an enhanced patch-based denoising method that leverages inter-frame connectivity to significantly improve multi-frame image denoising performance, outperforming existing extensions without additional parameters.

## Contribution

The paper proposes a novel inter-frame connectivity strategy integrated into BM3D, significantly improving multi-frame image denoising over existing methods.

## Key findings

- Achieves up to 28% quality improvement over the next best method.
- Outperforms all existing trivial and non-trivial extensions.
- Easily generalizable to other patch-based denoising methods.

## Abstract

The 3D block matching (BM3D) method is among the state-of-art methods for denoising images corrupted with additive white Gaussian noise. With the help of a novel inter-frame connectivity strategy, we propose an extension of the BM3D method for the scenario where we have multiple images of the same scene. Our proposed extension outperforms all the existing trivial and non-trivial extensions of patch-based denoising methods for multi-frame images. We can achieve a quality difference of as high as 28% over the next best method without using any additional parameters. Our method can also be easily generalised to other similar existing patch-based methods.