# HJprint/University\_project\_vmd\_majorization

<https://repo.masters-masters.com/en/repos/HJprint/University_project_vmd_majorization>

[Home](https://repo.masters-masters.com/en) › [HJprint](https://repo.masters-masters.com/en/owners/HJprint) › [University\_project\_vmd\_majorization](https://repo.masters-masters.com/en/repos/HJprint/University_project_vmd_majorization)

HJprint/University\_project\_vmd\_majorization has 108 stars on GitHub. Its RepoMasters card: Prototype tier. 使用vmd算法对含有噪声的图像信号进行分解，去除掉噪声信号，将剩余信号合成，得到去噪声图像。分别使用al…

| Field | Value |
| --- | --- |
| Owner | [HJprint](https://repo.masters-masters.com/en/owners/HJprint) |
| Stars | 108 |
| Forks | 10 |
| Language | [MATLAB](https://repo.masters-masters.com/en/languages/matlab) |
| License | None |
| Created | 2023 |
| Topics | ao, ga, vmd, spo, matlab |
| Tier | [Prototype (100 to 249 ★)](https://repo.masters-masters.com/en/ranks/rush) |
| View on GitHub | [HJprint/University\_project\_vmd\_majorization](https://github.com/HJprint/University_project_vmd_majorization) |

## Repository

使用vmd算法对含有噪声的图像信号进行分解，去除掉噪声信号，将剩余信号合成，得到去噪声图像。分别使用alo、ao、ga、gwo、mpa、spo、woa算法对vmd算法中的参数进行优化，实现快速、准确的完成图像信号的分解。

The tier for repos with 100 to 249 ★. Published odds per card pulled: 70%. Rarity: Common.

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Data: GitHub · Illustration drawn by RepoMasters from the repo’s ID and its language color.