Super Photo Upscaler 2.0.0 macOS

[BaDshaH]

Language: Multilingual | File size: 48 MB

Super Photo Upscaler is an image enhancer which intelligently enlarges photos from low-resolution to high-resolution while maintaining clean edges without losing quality.

The newest version of Super Photo Upscaler incorporates the Waifu2x "Deep Convolutional Neural Networks" that specializes in extremely increasing resolution of Manga and Anime images to get dramatically sharper effects with higher resolution details. It can enlarge small, pixelated illustrations to avoid jagged edges and artifacts and make them look clear and professional.

Features:
- Super Photo Upscaler was built with unique super-resolution methods and deep learning techniques.
- Upscalling the small & noisy image even more beautiful. It supports both anime-style illustrations and photos.
- Get very smooth and crisp edges in the enlarged images. It simulates the texture and film grain which keep photos looking natural even in extreme enlargements.
- Super Photo Upscaler can deal with five different algorithms at the same time. It becomes easier for users to compare images final effects after image-enhancement processes.
- Batch process multi-images to bigger fine images with one click.
- There were 20 pre-defined algorithms. It also supports that users customize his or her favorite new algorithms with different parameters.
- Many image formats were supported: JPG, PNG, BMP, TIF, PPM.
- The biggest length * width = 80 000 000 pixels in size is accepted by Super Photo Upscaler.
- No coding is needed.

RELEASE NOTES
Release notes were unavailable when this listing was updated

Supported Operation Systems:
macOS 10.13 or later

HOMEPAGE

https://geo.itunes.apple.com/app/1d450451849

Download From Rapidgator

https://rapidgator.net/file/046a781951ca4649b7d2cf5a01b7a652

Download From Nitroflare

https://nitro.download/view/24C3B5CA9055D0A

Download From Uploadgig

https://uploadgig.com/file/download/C87a79D1540614a4/BaDshaH.SuperPhotoUpscaler_2.0.0_MAS_TNT.dmg