Title :
Image motion analysis and compensation algorithm for the frame-push-broom imaging spectrometer
Author :
Sun, Yi ; Liao, Ningfang ; Liang, Minyong
Author_Institution :
Key Lab. of Nat. Educ. Minist. of China on Photo-Electron. Imaging Syst., Beijing Inst. of Technol., Beijing, China
Abstract :
In order to achieve the Restoration of motion-blurred image, a method based on Modulation Transfer Function (MTF) Image Regeneration is used in this paper. Firstly the degraded image is preprocessed, and then the MTF curve of the optical system is calculated. High frequency information of the image is restored according to the decreasing degree so as to increase the image resolution. For the high frequency of the degraded image frequency spectrum, the spectral image inverse FFT is conducted according to the some MTF decreasing pattern to restore the image. And an approximate restored image is obtained. In the simulation, with the above process, the restored image is acceptable for the requirement to improve.
Keywords :
Fourier transform spectrometers; computerised instrumentation; fast Fourier transforms; image restoration; interference spectrometers; motion compensation; optical transfer function; MTF curve; degraded image frequency spectrum; fast Fourier transform; frame-push-broom Fourier transform imaging spectrometer; image motion analysis; image motion compensation algorithm; image resolution; infrared remote sensing; interference imaging spectrometer; modulation transfer function image regeneration; motion-blurred image restoration; optical system; spectral image inverse FFT; visible remote sensing; Charge coupled devices; Degradation; Frequency measurement; Frequency modulation; Image restoration; Imaging; Image motion; Imaging Spectrometer; MTF; Restoration algorithm;
Conference_Titel :
Systems and Informatics (ICSAI), 2012 International Conference on
Conference_Location :
Yantai
Print_ISBN :
978-1-4673-0198-5
DOI :
10.1109/ICSAI.2012.6223426
