Study on Image Definition Function Based on Power-spectra Analysis

Author

Guojin, Chen ; Miaofen, Zhu ; Kesong, Zhang

Author_Institution

Hangzhou Dianzi Univ., Hangzhou

fYear

2007

fDate

12-13 Oct. 2007

Firstpage

1

Lastpage

4

Abstract

The image that is in focus has the sharper edge. The edge information gotten by Fourier transform corresponds to the higher part in the frequency domain. So the value of the image power-spectra can be used to represent the image definition. This paper analyses the essential property of the image power-spectra. The study indicates that the curves of the image power-spectra are similar in spite of different image contents. The image definition function has been constructed based on the definition of the image power-spectra. And the simulation indicates that the image definition function is obvious, no-bias, single-peaked in variation, high in the ratio of signal to noise, little in the computation quantity, excellent in the focusing performance and can reflect off-focus characteristics.

Keywords

Fourier transforms; image processing; Fourier transform; image contents; image definition function; image power-spectra; off-focus characteristics; power-spectra analysis; signal to noise ratio; Cities and towns; Computational modeling; Conferences; Focusing; Fourier transforms; Frequency domain analysis; Image analysis; Image sensors; Layout; Robot sensing systems; Image processing; auto-focusing; definition; evaluation function; power-spectra;

fLanguage

English

Publisher

ieee

Conference_Titel

Robotic and Sensors Environments, 2007. ROSE 2007. International Workshop on

Conference_Location

Ottawa, Ont.

Print_ISBN

978-1-4244-1526-7

Electronic_ISBN

978-1-4244-1527-4

Type

conf

DOI

10.1109/ROSE.2007.4373977

Filename

4373977