MedIA-Witch
Option 1 (Main): Download from itch.io
Option 2 (alternative): Download from Google Drive
Made by Iván E. C. Ayub
Capture:
Experience Unmatched Media Enhanced with AI-Models
Real-ESRGAN
Achieve breathtaking realism with models that restore intricate details and textures, making upscaled media look incredibly natural.
SRGAN
SRGAN (Super-Resolution Generative Adversarial Network) is an artificial intelligence model designed for image super-resolution, that is, increasing the resolution of a low-quality image while preserving and restoring fine details.
BSRGAN
Is an advanced super-resolution model that enhances low-quality images without needing to know the exact distortions affecting the input image. Unlike other methods, it is designed to handle a wide variety of degradations in real-world images.
IRCNN
It is a model based on convolutional neural networks (CNN) designed for the restoration of images affected by different types of degradation, such as noise, blur and compression.
Key Features
Advanced AI Models
Leverage cutting-edge AI algorithms to dramatically improve the quality of your images and videos. Experience unparalleled clarity and detail in every frame.
Batch Processing
Process multiple files simultaneously, saving you time and effort. Enhance entire collections of images or videos with just a few clicks.
Customizable Settings
Tailor the enhancement process to your specific needs with a wide range of adjustable parameters. Fine-tune the results to achieve your desired look and feel.
User-Friendly Interface
Navigate the software with ease thanks to an intuitive and well-designed interface. No prior experience is required to achieve professional-quality results.
Experience the Quality Difference
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System Requirements
Operating System
Windows 10 or later.
RAM
Minimum 4GB, recommended 8GB.
GPU
NVIDIA GPU for better performance.
Storage
Sufficient space for processed files.
Ensure your system meets the minimum requirements for optimal performance. A dedicated NVIDIA GPU is highly recommended for faster processing.
Credits and License:
¡Open Source at Its Best!.
This program is made possible by the foundations and tools that make up QualityScaler, an invaluable effort by Djdefrag, which integrates several open-source technologies, ensuring transparency and community-driven development:
(BSD License)
(For academic and non-commercial use only)
(LGPL-2.1 or later)
(BSD License)
Open-Source and Community Driven
Open Source
MedIA-Witch is an open-source project, which is the underlying code available to everyone.
Community
Join our community of users and developers to share feedback, contribute code, and shape the future of the project.
Github
The source code is publicly available on GitHub.