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Proceedings Paper

A fast algorithm based on image gradient field reconstructing
Author(s): Chang Ding; Lili Dong; Wenhai Xu
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Paper Abstract

Aiming at reducing the number of iterations in variational method used to reconstruct image gradient field and overlarge data memory space caused by Kronecker’s direct product operation, the paper discusses a matrix transform method to complete the reconstructing of image gradient field. The algorithm maintains the size of matrix constant and requires no iterations and the algorithm’s time complexity and space complexity are O(N), which meets the basic requirements in engineering calculations.

Paper Details

Date Published: 29 August 2016
PDF: 5 pages
Proc. SPIE 10033, Eighth International Conference on Digital Image Processing (ICDIP 2016), 100333C (29 August 2016); doi: 10.1117/12.2243793
Show Author Affiliations
Chang Ding, Dalian Maritime Univ. (China)
Lili Dong, Dalian Maritime Univ. (China)
Wenhai Xu, Dalian Maritime Univ. (China)

Published in SPIE Proceedings Vol. 10033:
Eighth International Conference on Digital Image Processing (ICDIP 2016)
Charles M. Falco; Xudong Jiang, Editor(s)

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