DocumentCode :
319566
Title :
A fully digital auto-focusing system based on image restoration
Author :
Kim, Sang Ku ; Kim, Tae Keun ; Paik, Joon Ki
Author_Institution :
Dept. of Electron. Eng., Chungang Univ., Seoul, South Korea
Volume :
1
fYear :
1997
fDate :
4-4 Dec. 1997
Firstpage :
13
Abstract :
In order to increase the accuracy in estimating the point spread function (PSF) of out-of-focus blur, we subdivided the input image and then averaged the PSFs from each subimage. The PSF of each subimage is estimated by differentiating the step response along the appropriately estimated edge direction under the assumption that an image usually has a piecewise linear boundary between an object and the background. Once the averaged PSF is obtained we can use any kind of image restoration filter according to specific application requirements, such as computational complexity or processing time.
Keywords :
optical transfer function; DCT; averaged PSF; background; block based edge classification; computational complexity; digital auto-focusing system; edge detection; edge direction; image restoration; image restoration filter; input image; object; out-of-focus blur; piecewise linear boundary; point spread function; processing time; step response; Additive white noise; Degradation; Filters; Focusing; Image edge detection; Image processing; Image restoration; Integrated circuit modeling; Integrated circuit noise; Vectors;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
TENCON '97. IEEE Region 10 Annual Conference. Speech and Image Technologies for Computing and Telecommunications., Proceedings of IEEE
Conference_Location :
Brisbane, Qld., Australia
Print_ISBN :
0-7803-4365-4
Type :
conf
DOI :
10.1109/TENCON.1997.647247
Filename :
647247
Link To Document :
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