TY - GEN
T1 - A method of image quality assessment based on imaging system parameters
AU - Zhang, Wei
AU - Zhi, Xiyang
AU - Zhao, Ming
PY - 2010
Y1 - 2010
N2 - 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.
AB - 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.
KW - BPNN
KW - Digital photogrammetric processing
KW - Image quality assessment
KW - MTF
KW - Matching accuracy requirements
KW - SNR
UR - https://www.scopus.com/pages/publications/78650576856
U2 - 10.1109/CISP.2010.5647787
DO - 10.1109/CISP.2010.5647787
M3 - 会议稿件
AN - SCOPUS:78650576856
SN - 9781424465149
T3 - Proceedings - 2010 3rd International Congress on Image and Signal Processing, CISP 2010
SP - 2312
EP - 2316
BT - Proceedings - 2010 3rd International Congress on Image and Signal Processing, CISP 2010
T2 - 2010 3rd International Congress on Image and Signal Processing, CISP 2010
Y2 - 16 October 2010 through 18 October 2010
ER -