A Summary of Quality Assessment for Astronomical Optical Image

Author

Tianyu Wang ; Hui Deng ; Feng Wang ; Kaifan Ji ; Wei Dai ; Bo Liang ; Xiaoli Zhang

Author_Institution

Yunnan Comput. Technol. Applic. Key Lab., Kunming Univ. of Sci. & Technol., Kunming, China

fYear

2013

fDate

1-3 Nov. 2013

Firstpage

332

Lastpage

335

Abstract

Image quality assessment method is a hot issue that aims to give an objective assessment value that in line with the human´s subject perception or certain demand of applications. This paper summarized and compared several quality assessment methods that have been widely used in astronomical optical images, including Strehl Ratio, FWHM, Spectral ratio, RMS, Fisher information, entropy function and neural network. To date, there isn´t one uniform quality assessment method for all kind of astronomical optical images. In astronomical image quality assessment field, researchers must find out a certain suitable assessment method for a certain kind of astronomical images.

Keywords

astronomical image processing; optical images; FWHM; Fisher information; RMS; Strehl Ratio; astronomical optical image; entropy function; human subject perception; image quality assessment method; neural network; spectral ratio; Adaptive optics; Entropy; Image quality; Neural networks; Noise; Optical imaging; Quality assessment; astronomical image; image quality assessment;

fLanguage

English

Publisher

ieee

Conference_Titel

Intelligent Networks and Intelligent Systems (ICINIS), 2013 6th International Conference on

Conference_Location

Shenyang

Print_ISBN

978-1-4799-2808-8

Type

conf

DOI

10.1109/ICINIS.2013.92

Filename

6754741