DocumentCode :
3337644
Title :
Imaging sensor Modulation Transfer Function estimation
Author :
Chen, Junqing ; Cao, Dongqing ; Sun, Qun ; Gravelle, Robert
Author_Institution :
Aptina Imaging, San Jose, CA, USA
fYear :
2010
fDate :
26-29 Sept. 2010
Firstpage :
533
Lastpage :
536
Abstract :
The Modulation Transfer Function (MTF) is an important quantitative indicator of imaging system resolving power. State of the art MTF measurement approaches utilize known targets and work quite well on pixels of size over 2.0 micron. While efforts have been taken towards reliable MTF measurement of smaller pixels, existing methods suffer from high complexities in measurement and analysis. The proposed approach originates from a linear camera model and decomposes the system to linear blocks and sampling operation. The sensor output signal is modeled as a linear combination of intended and unintended signal (noise plus crosstalk). The crosstalk itself is again modeled via a linear kernel that can be obtained based on data from a designed experiment. The sensor MTF is then estimated by combining the relevant elements together. The results are verified against these from a much more sophisticated setup and show good alignment.
Keywords :
image sensors; optical crosstalk; optical transfer function; MTF measurement; crosstalk; imaging sensor; imaging system; linear camera model; linear kernel; modulation transfer function estimation; sensor output signal; Cameras; Crosstalk; Estimation; Image color analysis; Kernel; Light sources; Pixel; camera model; demosaic algorithm; point spread function (PSF); sampling; sensor crosstalk;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Image Processing (ICIP), 2010 17th IEEE International Conference on
Conference_Location :
Hong Kong
ISSN :
1522-4880
Print_ISBN :
978-1-4244-7992-4
Electronic_ISBN :
1522-4880
Type :
conf
DOI :
10.1109/ICIP.2010.5651709
Filename :
5651709
Link To Document :
بازگشت