Enhancing the ability of NAS-RIF algorithm for blind image deconvolution
M. Matsuyama, Yuichi Tanji, Mamoru Tanaka · 2002
Blind image deconvolution has possibility in various applications, for example, medical imaging, astronomical imaging, and one-dimensional gamma-ray spectra processing. In this paper, enhancing the ability of the NAS-RIF algorithm, which is known as a powerful blind deconvolution method, is provided. To improve the recovery ability, the cost function of the optimization routine of the NAS-RIF algorithm is redefined, and by incorporating interband prediction, the computational efficiency of the NAS-RIF algorithm is greatly improved.