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Application of Lucy-Richardson Algorithm to Astronomical Image and Its Discussion

Author: QiuLiJie
Tutor: PengQingYu
School: Jinan University
Course: Applied Computer Technology
Keywords: Image Restoration Lucy-Richardson algorithm Location Magnitude Signal-to-noise ratio
CLC: TP391.41
Type: Master's thesis
Year: 2011
Downloads: 52
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Abstract


Astronomical images in the collection process will be subject to the influence of various factors , so that the image generated degradation . This degradation is usually manifested in the blur of the image , so that the decline of the resolution of the image . This paper attempts to image restoration processing of image processing with the astrometric and photometric accuracy closely related to a number of factors measured CCD image . Lucy-Richardson algorithm is the the international astronomical image processing areas of the most widely used one of the algorithms , this paper shot of the algorithm on the 1 -meter telescope of Yunnan Observatory CCD image restoration , image quality changes before and after the study to restore , respectively, from astrology position accuracy , signal-to-noise ratio , star , etc. Multiple Indicator exploration test . In actual operation , we use Visual C and MATLAB mixed programming method , different number of iterations of astronomical images , the astrological position before and after contrast recovery accuracy changes , as well as the change of the signal-to-noise ratio of the relevant astrological star comparison. The experiments show that the CCD image image recovery process , the indicators change is not the same , after which the signal-to-noise ratio and Star astrology recovery process after the image has improved , and the positional accuracy of astrology slightly decline. Lucy-Richardson algorithm is one of the most widely used image processing technique , but the inherent defects , may be some noise amplification , resulting in false astrological ringing effect is also not good to eliminate the need for further improvements .

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CLC: > Industrial Technology > Automation technology,computer technology > Computing technology,computer technology > Computer applications > Information processing (information processing) > Pattern Recognition and devices > Image recognition device
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