Please use this identifier to cite or link to this item: http://scholarbank.nus.edu.sg/handle/10635/98589
Title: Windowing techniques for image restoration
Authors: Tan, K.-C. 
Lim, H. 
Tan, B.T.G. 
Issue Date: Sep-1991
Source: Tan, K.-C.,Lim, H.,Tan, B.T.G. (1991-09). Windowing techniques for image restoration. CVGIP: Graphical Models and Image Processing 53 (5) : 491-500. ScholarBank@NUS Repository.
Abstract: The large errors observed in inverse filter or Wiener filter restorations of images are mainly due to the fact that only a truncated region of image data is available for processing. In the earlier literature, it was suggested that the well-known time-series windows may be generalized for treating these errors. This paper examines the windowing technique for the restoration of general blurred images. Mathematical expressions for the restoration errors that arise from truncated data are derived. Optimal windows for image restoration are then designed on the basis of these expressions. With these optimal windows, near-perfect restorations can be obtained if the images vary gradually in intensity near their borders. Restorations using the optimal windows and some well-known time-series analysis windows are presented for comparison of their performance. © 1991.
Source Title: CVGIP: Graphical Models and Image Processing
URI: http://scholarbank.nus.edu.sg/handle/10635/98589
ISSN: 10499652
Appears in Collections:Staff Publications

Show full item record
Files in This Item:
There are no files associated with this item.

Page view(s)

11
checked on Feb 24, 2018

Google ScholarTM

Check


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.