Affine Scaling Methods for Image Deblurring Problems
Refereed conference paper presented and published in conference proceedings

香港中文大學研究人員

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摘要Blur in images can be removed by solving a series of box-constrained linear least-squares problems. In this paper, we compare two recent approaches for solving these problems using affine-scaling methods. Both approaches aim at solving a nonlinear system arising from the Karush-Kuhn-Tucker condition. One approach is to identify the active set and update the inactive components of the iterates by using a Newton-like method. The other is to iteratively solve the nonlinear system entry-wise by a Quasi-Newton method.
著者Chan RH, Morini B, Porcelli M
會議名稱International Conference on Numerical Analysis and Applied Mathematics
會議開始日19.09.2010
會議完結日25.09.2010
會議地點Rhodes
會議國家/地區希臘
期刊名稱AIP Conference Proceedings
出版年份2010
月份1
日期1
卷號1281
出版社AIP Publishing
頁次1043 - 1046
國際標準書號978-0-7354-0834-0
國際標準期刊號0094-243X
語言英式英語
關鍵詞Affine Scaling; Barzilai-Borwein methods; Image Restoration; Newton methods
Web of Science 學科類別Engineering; Engineering, Multidisciplinary; Mathematics; Mathematics, Applied; Physics; Physics, Applied; Physics, Mathematical; Physics, Multidisciplinary

上次更新時間 2020-24-10 於 01:21