Image super-resolution using generative adversarial networks with efficientNetV2.
The image super-resolution is utilized for the image transformation from low resolution to higher resolution to obtain more detailed information to identify the targets. The superresolution has potential applications in various domains, such as medical image processing, crime investigation, remote s...
保存先:
| 主要な著者: | , , , , |
|---|---|
| フォーマット: | 論文 |
| 言語: | English |
| 出版事項: |
Science and Information Organization
2023
|
| 主題: | |
| オンライン･アクセス: | http://eprints.utm.my/105362/1/SalehAltakrouri2023_ImageSuperResolutionUsingGenerativeAdversarial.pdf http://eprints.utm.my/105362/ http://dx.doi.org/10.14569/IJACSA.2023.01402100 |
| タグ: |
タグ追加
タグなし, このレコードへの初めてのタグを付けませんか!
|