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