Paper Title:
Study on the Evaluation Model of Image Definition
  Abstract

At present, the usual image definition evaluation methods are poor in focusing precision and have a lot of calculations. In view of these problems, the paper analyzed the factors affecting an image quality evaluation, and proposed two evaluation models based on an image contrast change rate and an autocorrelation function. These methods avoided efficiently the phenomenon of partial peaks of focusing-function curves for noise disturbing. The stimulant test proves that the focusing curve of the evaluation model in the paper has many advantages, such as good focusing performance, strong antijamming ability, good real time and so on.

  Info
Periodical
Edited by
Qi Luo
Pages
636-640
DOI
10.4028/www.scientific.net/AMM.20-23.636
Citation
G. J. Chen, M. F. Zhu, W. Q. Wang, Y. N. Li, "Study on the Evaluation Model of Image Definition", Applied Mechanics and Materials, Vols. 20-23, pp. 636-640, 2010
Online since
January 2010
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