Developer: | 秀英 朱 (15) | ||
Price: | $9.99 | ||
Rankings: | 0 | ||
Reviews: | 0 Write a Review | ||
Lists: | 1 + 1 | ||
Points: | 16 + 0 ¡ | ||
Points + 1 |
Description
Powered by AI image upscaling technology, 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.
Feedback:
Any suggestion will be highly appreciated.
Support email: market@effectmatrix.com
more ↓ 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.
Feedback:
Any suggestion will be highly appreciated.
Support email: market@effectmatrix.com
What's new
- Version: 2.0.0
- Updated:
- 1. Compatible with the newest operating system macOS Big Sur.
2. The newest version incorporates the Waifu2x that specializes in extremely increasing resolution of Manga and Anime images to get dramatically sharper effects with higher resolution details.
Price
- Today: $9.99
- Minimum: Free
- Maximum: $19.99
Track prices
Developer
Points
-
- 407 QenTox
-
- 401 眰恦(眰恦)
-
- 544 IMO FUCASHI
-
- 439 Raphael Pinheiro
-
- 84 Amin
Rankings
Not found ☹️
Lists
-
- 5,844 Simon Chan
- 186
Reviews
Be the first to review!
Additional Information
- Category:
macOS Apps
›Graphics & Design
- OS:
macOS
,macOS 10.13 and up
- Size:
43 Mb
- Supported Languages:
Chinese
,Dutch
,English
,French
,German
,Italian
,Japanese
,Korean
,Portuguese
,Russian
,Spanish
,Swedish
- Content Rating:
4+
- Mac App Store Rating:
0
- Updated:
- Release Date:
Contacts
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