Image Upscaler VS Image Colour Transfer

Image Upscaler - is a smart tool to upscale images without losing quality.

Traditional image enlargement often results in a blurry appearance due to the creation of new pixels based on the average of adjacent pixels. This can make the image appear stretched and unclear. Instead, Image Upscaler employs a sophisticated method using Deep Learning GAN (Generative Adversarial Network) to refine pixels. This technique ensures that the images maintain their clarity, eliminating any blurriness, and making them appear as if they were captured with a superior camera or from a closer point. The GANs used by Image Upscaler have been trained using high-resolution photo databases, allowing the algorithm to recognize and replicate the appearance of natural objects. When an image is uploaded, the AI-powered Image Upscaler examines it, producing new pixels that seamlessly fit into the image, resulting in a high-resolution output.

Apart from its primary image upscaling feature, Image Upscaler also boasts a variety of other AI-driven tools, including:

Deblurring AI Image Generator Photo and Video Cartoonizer Colorizer Inpaint Background Removal Image to Anime convertor Photo to Painting transformation Background Blur And many more!

Image Colour Transfer is a free, browser-based application that allows a photo to be colour graded to match the colour of another photo, similar to the “Match Colour” feature found in some commercial photo editing applications.

The following Medium article gives an overview of the processing method and its applications. https://medium.com/@terence.johnson/a-free-touse-web-app-for-image-colour-transfer-processing-9f5b06c760f4

An independent (but highly favourable) review of the web app can be found here. https://petapixel.com/2022/01/12/this-web-app-can-use-one-photos-colors-to-grade-another/

The processing method is an enhancement of the colour transfer method proposed by E Reinhard et al. Facilities are provided to allow comparison between the enhanced and the original methods.

Technical details of the enhanced processing method are provided here. https://github.com/TJCoding/Enhanced-Image-Colour-Transfer-2/blob/main/Documents/Further%20Enhanced%20Image-Colour-Transfer.pdf

The Web App has been designed to primarily operate on a desktop or laptop computer, the speed and practicality of processing will depend upon image size and the computing power of a particular device.