ABSTRACT
In long-range imaging applications, anisoplanatic atmospheric optical turbulence imparts spatially- and temporally varying blur and geometric distortions in acquired imagery. The ability to distinguish true scene motion from turbulence warping is important for many image-processing and analysis tasks. The authors present a scene-motion detection algorithm specifically designed to operate in the presence of anisoplanatic optical turbulence. The method models intensity fluctuations in each pixel with a Gaussian mixture model (GMM). The GMM uses knowledge of the turbulence tilt-variance statistics. We provide both quantitative and qualitative performance analyses and compare the proposed method to several state-of-the art algorithms. The image data are generated with an anisoplanatic numerical wave-propagation simulator that allows us to have motion truth. The subject technique outperforms the benchmark methods in our study.
ABSTRACT
Atmospheric optical turbulence can be a significant source of image degradation, particularly in long range imaging applications. Many turbulence mitigation algorithms rely on an optical transfer function (OTF) model that includes the Fried parameter. We present anisoplanatic tilt statistics for spherical wave propagation. We transform these into 2D autocorrelation functions that can inform turbulence modeling and mitigation algorithms. Using these, we construct an OTF model that accounts for image registration. We also propose a spectral ratio Fried parameter estimation algorithm that is robust to camera motion and requires no specialized scene content or sources. We employ the Fried parameter estimation and OTF model for turbulence mitigation. A numerical wave-propagation turbulence simulator is used to generate data to quantitatively validate the proposed methods. Results with real camera data are also presented.
Subject(s)
Avitaminosis/drug therapy , Domestic Violence/prevention & control , Family Health/standards , Rickets/drug therapy , Self-Injurious Behavior/prevention & control , Vitamin D/therapeutic use , Adolescent , Adult , Avitaminosis/diagnosis , Child , Child, Preschool , Female , Humans , Infant , Male , Middle Aged , Practice Guidelines as Topic , Rickets/diagnosis , Self-Injurious Behavior/diagnosis , State Medicine , United Kingdom , Young AdultABSTRACT
Correlations between scores on the Student Anti-intellectualism Scale and scores on the Student Adaptation to College Questionnaire were examined for a sample of 84 college students. Significant negative correlations were found between students' anti-intellectual attitudes and their Full Scale, Academic Adjustment, and Institutional Attachment scores but no correlation between anti-intellectual attitudes and the Social Adjustment and Personal-emotional Adjustment scores.
