2025/11/13 by Zhang, Shen, Wang, Lei, Shan, Huanyuan +3
Computer Science · Physics and Astronomy · #Adaptive optics and wavefront sensing #Advanced Image Processing Techniques #FOS: Physical sciences #Image and Signal Denoising Methods #Instrumentation and Methods for Astrophysics (astro-ph.IM)
paper · doi:10.48550/arxiv.2511.09881
openalex publication_date 2025/11/13 · openalex created_date 2025/11/15 · openalex updated_date 2026/07/28
We propose fiDrizzleMU, an algorithm for co-adding exposures via iterative multiplicative updates, replacing the additive correction framework. This method achieves superior anti-aliasing and noise reduction in stacked images. When applied to James Webb Space Telescope data, the fiDrizzleMU algorithm reconstructs a gravitational lensing candidate that was significantly blurred by the pipeline's resampling process. This enables the accurate recovery of faint and extended structures in high-resolution astronomical imaging.