A Mathematics-Based Astrophotography Image Enhancement Method for Low-End Devices and Embedded Camera Systems

Skyora is a mathematics-based astrophotography image enhancement system designed for low-end devices and embedded camera systems.

Unlike AI-based tools, Skyora runs fully offline and improves lunar image quality by calculating moon parameters from image metadata (date, time, location) and blending high-quality moon images into the original.

It also reduces noise with traditional denoising filters, runs efficiently on low-cost hardware, and is intended for amateur astrophotographers and hobbyists who do not have access to professional cameras.

The paper includes methodology, example images, benchmarks against AI models, limitations, and potential future work.
Keywords: astrophotography, image processing, lunar enhancement, optimization, low-cost systems, offline computer vision, embedded camera systems.