Waifu2x is an advanced image processing tool specifically designed for single-image super-resolution of anime-style art using deep convolutional neural networks (CNNs). It also provides support for processing regular photographs, making it versatile for image editing tasks.
Waifu2x offers two supported models:
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JPEGQuality: This model predicts the JPEG quality of an image based on its content. It can be utilized to assess the quality of JPEG-compressed images and determine the optimal level of compression for desired output.
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GrainNoiseLevel: This model predicts the noise level present in a photograph and estimates the peak signal-to-noise ratio (PSNR) degraded by that noise. It assists in identifying and filtering out low-quality images with high levels of noise, allowing users to create cleaner and more reliable image datasets.
Waifu2x provides command-line interface (CLI) tools that allow users to filter out low-quality images based on the results obtained from the supported models. These tools enable efficient and automated processing of images, making it easier to manage and curate image datasets.
Overall, Waifu2x is a powerful tool for image enhancement and quality improvement, specifically tailored for anime-style art and photos. Its ability to upscale low-resolution images while preserving and enhancing visual details makes it a valuable asset for artists, designers, and anyone working with anime-style artwork or low-quality images.
https://github.com/nagadomi/nunif