NOVEL DEBLURRING ALGORITHMS FOR IMAGES CAPTURED WITH CCD-CAMERAS

Weighted least-squares algorithms are proposed for reconstructing imag es from photon-limited data captured with CCD cameras. These cameras i ntroduce blur and signal-independent noise, while forces of nature giv e rise to so-called background noise. The errors in the data are addre ssed by using a weighted least-squares formulation that emphasizes mor e reliable data values. The performance of the proposed algorithms is investigated by using synthetic and real data obtained from the Space Telescope Science Institute. The real data were captured with the wide -field/planetary camera aboard the original Hubble Space Telescope. Si mulation studies with the synthetic data indicate that the proposed al gorithms converge faster and have fewer ''false stars'' than a modifie d Richardson-Lucy algorithm. (C) 1997 Optical Society of America.