An enhanced NAS-RIF algorithm for blind image deconvolution
Chin Ann Ong
Jonathon Chambers
2134/5800
https://repository.lboro.ac.uk/articles/journal_contribution/An_enhanced_NAS-RIF_algorithm_for_blind_image_deconvolution/9576188
We enhance the performance of the nonnegativity and support constraints recursive inverse filtering (NAS-RIF) algorithm for blind image deconvolution. The original cost function is modified to overcome the problem of operation on images with different scales for the representation of pixel intensity levels. Algorithm resetting is used to enhance the convergence of the conjugate gradient algorithm. A simple pixel classification approach is used to automate the selection of the support constraint. The performance of the resulting enhanced NAS-RIF algorithm is demonstrated on various images
2010-01-15 12:07:02
Blind image deconvolution
Classification
Conjugate gradient
Deblurring
Mechanical Engineering not elsewhere classified