A method of image quality assessment based on imaging system parameters

Author

Zhang, Wei ; Zhi, Xiyang ; Zhao, Ming

Author_Institution

Res. Center for Space Opt. Eng., Harbin Inst. of Technol., Harbin, China

Volume

5

fYear

2010

fDate

16-18 Oct. 2010

Firstpage

2312

Lastpage

2316

Abstract

A new method of objectively assessing image quality is presented. This method deals with imaging system Modulation Transfer Function (MTF) and Signal to Noise Ratio (SNR), which are very important for image quality assessment based on matching accuracy requirements in the digital photogrammetric processing. Firstly, the main metrics affecting image quality is theoretically analyzed and mathematically modeled. Subsequently, variations of matching accuracy with MTF and SNR metrics are analyzed, and mathematical model between them is developed based on Back-Propagation Neural Network (BPNN). Finally, the model is verified using real aerial images. The model can be used to predict the effects of MTF and SNR metrics on the matching accuracy, then assess image quality and system design performance according to special matching accuracy requirements.

Keywords

backpropagation; image matching; neural nets; optical transfer function; photogrammetry; BPNN; MTF; SNR; back-propagation neural network; digital photogrammetric processing; image quality assessment; imaging system parameters; matching accuracy; modulation transfer function; signal to noise ratio; Accuracy; Artificial neural networks; Image quality; Imaging; Mathematical model; Measurement; Signal to noise ratio; BPNN; MTF; SNR; digital photogrammetric processing; image quality assessment; matching accuracy requirements;

fLanguage

English

Publisher

ieee

Conference_Titel

Image and Signal Processing (CISP), 2010 3rd International Congress on

Conference_Location

Yantai

Print_ISBN

978-1-4244-6513-2

Type

conf

DOI

10.1109/CISP.2010.5647787

Filename

5647787