# csjunxu/MCWNNM-ICCV2017

<https://repo.masters-masters.com/en/repos/csjunxu/MCWNNM-ICCV2017>

[Home](https://repo.masters-masters.com/en) › [csjunxu](https://repo.masters-masters.com/en/owners/csjunxu) › [MCWNNM-ICCV2017](https://repo.masters-masters.com/en/repos/csjunxu/MCWNNM-ICCV2017)

csjunxu/MCWNNM-ICCV2017 has 117 stars on GitHub. Its RepoMasters card: Prototype tier. Multi-channel Weighted Nuclear Norm Minimization for Real Color Image…

| Field | Value |
| --- | --- |
| Owner | [csjunxu](https://repo.masters-masters.com/en/owners/csjunxu) |
| Stars | 117 |
| Forks | 33 |
| Language | [MATLAB](https://repo.masters-masters.com/en/languages/matlab) |
| License | None |
| Created | 2017 |
| Topics | image-processing, color-image-denoising, low-rank-approximation, real-world-images |
| Tier | [Prototype (100 to 249 ★)](https://repo.masters-masters.com/en/ranks/rush) |
| View on GitHub | [csjunxu/MCWNNM-ICCV2017](https://github.com/csjunxu/MCWNNM-ICCV2017) |

## Repository

Multi-channel Weighted Nuclear Norm Minimization for Real Color Image Denoising, ICCV 2017.

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.