2014/01/29 by Sean M. Peters, Peters, Sean M., Slava Kitaeff +2
Computer Science · Engineering · Physics and Astronomy · #85-04 #Advanced Data Compression Techniques #Advanced Wireless Communication Techniques #Digital Filter Design and Implementation #FOS: Physical sciences #Image and Signal Denoising Methods #Instrumentation and Methods for Astrophysics (astro-ph.IM) #astro-ph.IM #msc:85-04
paper · pdf · doi:10.48550/arxiv.1401.7433
13 pages, 24 figures, 6 tables, accepted by Astronomy & Computing
openalex publication_date 2014/01/29 · arxiv created 2014/06/30 · arxiv updated 2014/07/01 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/28
The sheer volume of data anticipated to be captured by future radio telescopes, such as, The Square Kilometer Array (SKA) and its precursors present new data challenges, including the cost and technical feasibility of data transport and storage. Image and data compression are going to be important techniques to reduce the data size. We provide a quantitative analysis of the effects of JPEG2000's lossy wavelet image compression algorithm on the quality of the radio astronomy imagery data. This analysis is completed by evaluating the completeness, soundness and source parameterisation of the Duchamp source finder using compressed data. Here we found the JPEG2000 image compression has the potential to denoise image cubes, however this effect is only significant at high compression rates where the accuracy of source parameterisation is decreased.