Please use this identifier to cite or link to this item:
|Title:||Multichannel image restorations using an iterative algorithm in space domain|
Multichannel image restoration
|Source:||Guo, Y.P.,Lee, H.P.,Teo, C.L. (1996-06-15). Multichannel image restorations using an iterative algorithm in space domain. Image and Vision Computing 14 (6) : 389-400. ScholarBank@NUS Repository. https://doi.org/10.1016/0262-8856(95)01071-8|
|Abstract:||The critical issue in extending the iterative algorithm widely used for single-channel restoration to the multichannel case is the formidable computational requirements due to the huge matrix operations in the restoration algorithm. This paper explores the possibility of combining the multichannel constrained-least-square (CLS) algorithm with the iterative algorithm for restoring multichannel images. A detailed analysis of the properties of the matrices in the formula and an effective method implemented in space domain are presented. This makes the iterative CLS algorithm feasible for multichannel restoration problems. Experiments are performed to evaluate the proposed iterative multichannel CLS algorithm. The results of the related independent single-channel algorithm are also presented for comparison.|
|Source Title:||Image and Vision Computing|
|Appears in Collections:||Staff Publications|
Show full item record
Files in This Item:
There are no files associated with this item.
checked on Dec 13, 2017
checked on Dec 15, 2017
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.