I am developing an AI-large-model-based denoising software for astrophotography, which is more powerful than Theia AI. The goals are:
Target users and input formats
– Designed for the post-processing workflow of amateur astronomers. Supported input formats: 16-bit FITS (linear), 16-bit TIFF, 8-/16-bit JPEG/PNG (sRGB).
Output and quality standards (acceptance criteria)
– SNR improvement: ≥ 5 dB boost in typical deep-sky (low-signal background) scenes, measured over user-selected background regions.
– Star fidelity: FWHM of bright stars changes < 5 %; no obvious “blob stars”, “blocky stars”, or abnormal halos.
– Faint-structure preservation: nebula edges and dark lanes must not be “wiped out”; qualitatively verifiable in side-by-side comparisons.
– Artifact control: no conspicuous NN artifacts such as repeating textures, grids, rings, banding, or color shifts.
Development has reached the late stage, and I have one question and one request for help:
Question: do people actually need this piece of software?
Help needed: I need unprocessed, original astrophotographs for testing and validation, but such data are extremely hard to obtain. I hope to get help here.
That’s all. I would appreciate your assistance, especially with unprocessed images. My e-mail is
