28 March 2016 Construction and solution of an adaptive image-restoration model for removing blur and mixed noise
Author Affiliations +
Abstract
We establish a practical regularized least-squares model with adaptive regularization for dealing with blur and mixed noise in images. This model has some advantages, such as good adaptability for edge restoration and noise suppression due to the application of
© 2016 SPIE and IS&T
Youquan Wang, Lihong Cui, Yigang Cen, Jianjun Sun, "Construction and solution of an adaptive image-restoration model for removing blur and mixed noise," Journal of Electronic Imaging 25(2), 023013 (28 March 2016). https://doi.org/10.1117/1.JEI.25.2.023013 . Submission:
JOURNAL ARTICLE
15 PAGES


SHARE
Back to Top