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pro vyhledávání: '"Donald L. Durack"'
Autor:
Donald L. Durack
Publikováno v:
Propagation Engineering: Fourth in a Series.
The iterative expectation-maximization (EM) algorithm for identifying unknown blur, noise, and image parameters under Gaussian modeling assumptions is described. A new form of the equations updating parameter estimates is given, from which convergenc
Autor:
Donald L. Durack, Michael T. Valley
Publikováno v:
Propagation Engineering: Third in a Series.
The residual image is analyzed to determine a constraint which regularizes the ill-posed least squares image restoration problem. The energy in the residual image is constrained at a level which depends on the noise statistics, image degradation, and
Autor:
Donald L. Durack
Publikováno v:
Propagation Engineering.
Standard measures of image quality are used to quantify the effect of atmospheric turbulence on specific target and background signatures from digital images. The degraded signature corresponding to any atmospheric coherence diameter can be computed
Autor:
Donald L. Durack, Michael K. Giles
Publikováno v:
Optical, Infrared, Millimeter Wave Propagation Engineering.
A model of long-exposure image blur due to atmospheric turbulence has been developed using a parallel processor to convolve the input image with the turbulence point spread function (PSF). The model uses two basic dimensionless parameters--the turbul
Autor:
Donald L. Durack, Michael K. Giles
Publikováno v:
Optical, Infrared, Millimeter Wave Propagation Engineering.
This paper presents an approach to modeling effects of atmospheric turbulence in digital images, which allows variation in the atmospheric coherence diameter over the field-of-view. Characteristics of the imaging system are used in deriving a digital
Conference
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