# JalaliLabUCLA/Jalali-Lab-Implementation-of-RAISR

<https://repo.masters-masters.com/en/repos/JalaliLabUCLA/Jalali-Lab-Implementation-of-RAISR>

[Home](https://repo.masters-masters.com/en) › [JalaliLabUCLA](https://repo.masters-masters.com/en/owners/JalaliLabUCLA) › [Jalali-Lab-Implementation-of-RAISR](https://repo.masters-masters.com/en/repos/JalaliLabUCLA/Jalali-Lab-Implementation-of-RAISR)

JalaliLabUCLA/Jalali-Lab-Implementation-of-RAISR has 136 stars on GitHub. Its RepoMasters card: Prototype tier. Implementation of RAISR (Rapid and Accurate…

| Field | Value |
| --- | --- |
| Owner | [JalaliLabUCLA](https://repo.masters-masters.com/en/owners/JalaliLabUCLA) |
| Stars | 136 |
| Forks | 46 |
| Language | [Python](https://repo.masters-masters.com/en/languages/python) |
| License | GPL-3.0 |
| Created | 2018 |
| Topics | raisr, image-processing, super-resolution, pst, phase-stretch-transform, just-in-time, python |
| Tier | [Prototype (100 to 249 ★)](https://repo.masters-masters.com/en/ranks/rush) |
| View on GitHub | [JalaliLabUCLA/Jalali-Lab-Implementation-of-RAISR](https://github.com/JalaliLabUCLA/Jalali-Lab-Implementation-of-RAISR) |

## Repository

Implementation of RAISR (Rapid and Accurate Image Super Resolution) algorithm in Python 3.x by Jalali Laboratory at UCLA. The implementation presented here achieved performance results that are comparable to that presented in Google's research paper (with less than ± 0.1 dB in PSNR). Just-in-time (…

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

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