Image deconvolution problems with a symmetric point-sprea d function arise in many areas of science and engineering. These problems often are solved by the Richardson-Lucy method, a nonlinear iterative method. We first show a convergence result for the Richardson-Lucy method. The proof sheds ligh t on why the method may converge slowly. Subsequently, we describe an iterative active set method that imposes the same constraints on the computed solution as the Richard son-Lucy method. Computed examples show the latter method to yield better restorations than the Richardson-Lucy method and typically require less computational effort. t
M. K. Khan, S. Morigi, L. Reichel, F. Sgallari (2013). Iterative Methods of Richardson-Lucy-type for Image Deblurring. NUMERICAL MATHEMATICS, 6, 262-275 [10.4208/nmtma.2013.mssvm14].
Iterative Methods of Richardson-Lucy-type for Image Deblurring
MORIGI, SERENA;SGALLARI, FIORELLA
2013
Abstract
Image deconvolution problems with a symmetric point-sprea d function arise in many areas of science and engineering. These problems often are solved by the Richardson-Lucy method, a nonlinear iterative method. We first show a convergence result for the Richardson-Lucy method. The proof sheds ligh t on why the method may converge slowly. Subsequently, we describe an iterative active set method that imposes the same constraints on the computed solution as the Richard son-Lucy method. Computed examples show the latter method to yield better restorations than the Richardson-Lucy method and typically require less computational effort. tI documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.