DocumentCode :
1425440
Title :
An algorithm to extract camera-shaking degree and noise variance in the peak-trace domain
Author :
Choi, Ji Woong ; Kang, Moon Gi ; Park, Kyu Tae
Author_Institution :
Dept. of Electron. Eng., Yonsei Univ., Seoul, South Korea
Volume :
44
Issue :
3
fYear :
1998
fDate :
8/1/1998 12:00:00 AM
Firstpage :
1159
Lastpage :
1168
Abstract :
A method is proposed which estimates the degree of motion blur caused by the shaking of a digital camera during the exposure time. A new domain called the peak-trace domain is introduced to clearly specify the signal dominant region (used for extracting the camera-shaking degree) and the noise dominant region (used for estimating the noise variance). The experimental results show that the proposed method offers an efficient way to precisely detect the camera shaking and to restore the noisy blurred image
Keywords :
Fourier analysis; cameras; feature extraction; image restoration; motion estimation; noise; optical transfer function; Fourier analysis; additive noise; algorithm; camera-shaking degree; digital camera; experimental results; exposure time; feature extraction; motion blur estimation; noise dominant region; noise variance; noisy blurred image restoration; parameter estimation; peak-trace domain; point spread function; signal dominant region; Additive noise; Digital cameras; Frequency domain analysis; Frequency response; Image processing; Image restoration; Moon; Motion estimation; Poles and zeros; Signal restoration;
fLanguage :
English
Journal_Title :
Consumer Electronics, IEEE Transactions on
Publisher :
ieee
ISSN :
0098-3063
Type :
jour
DOI :
10.1109/30.713250
Filename :
713250
Link To Document :
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