DocumentCode
1046016
Title
Cascaded Neural Network-based S-VHS Restoration
Author
Le Dinh, Kha ; Le Dinh, Chon-Tam
Author_Institution
Univ. of Sherbrooke, Sherbrooke
Volume
53
Issue
2
fYear
2007
fDate
5/1/2007 12:00:00 AM
Firstpage
513
Lastpage
518
Abstract
A restoration method for S-VHS sequences is proposed in this paper to help to improve their image quality. The solution consists of a cascaded neural network structure using restored luminance signal. The proposed method was tested with various color images and experimental results showed that both subjective and objective image quality were substantially improved.
Keywords
home automation; image colour analysis; image restoration; neural nets; video signal processing; S-VHS restoration; cascaded neural network; color images; image quality; image restoration; objective image quality; restored luminance signal; super video home system; Deconvolution; Frequency modulation; Image quality; Image restoration; Magnetic recording; Neural networks; Optical recording; Radio spectrum management; Signal restoration; Video recording;
fLanguage
English
Journal_Title
Consumer Electronics, IEEE Transactions on
Publisher
ieee
ISSN
0098-3063
Type
jour
DOI
10.1109/TCE.2007.381723
Filename
4266936
Link To Document