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Restoration of quadratically distorted imagesKwon, Tae-hwan 24 July 1990 (has links)
The problem of the restoration of quadratically
distorted images is considered in this investigation, based
upon the fact that images formed by partially coherent
illuminations are related quadratically to the amplitude of
the object. Two of the most important problems in image
restoration are: 1) determining the degradation
characteristics of the degraded image and 2) developing
restoration algorithms. Among the two classes of inverse
problems, one for system identification and the second for
image restoration, only the means to solve the latter are
presented in this study.
Since the present problem is represented by the second-order
term of a Volterra series expansion, multidimensional
Volterra filter theory is presented with emphasis on the
properties of two-dimensional quadratic filter.
The mathematics of inverse problems is presented for
the purpose of image restoration, and the novel algorithms
which are simple and easy to implement and robust to the
ill-conditioned system in comparison to the existing
algorithms are proposed. Since quadratically distorted
imaging systems preclude a closed-form solution, approximate
solutions are obtained through application of the proposed
iterative and noniterative schemes. Images restored
approximately by the proposed algorithms can be improved
substantially by the use of a Newton-Raphson iteration
scheme.
Two typical regularization methods are presented and
the truncated singular-value decomposition method is applied
for the noisy image restoration. Regularized iterative
restoration schemes for the noisy image restoration are also
considered. Simulation examples for different issues are
presented. / Graduation date: 1991
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Three words two pat the three types of nuns and the six types of worthless occupations for womenHan, Cho-chun 01 July 2010 (has links)
NONE
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Using Fringe Projection technique to form a high-resolution image from multiple low-resolution imageYao, Yu-ting 31 July 2012 (has links)
This paper presents a set of Image Registration, Image Integration, interpolation and image restoration and other technology, the number of low-resolution images synthesized high-resolution image. Relative to the existing image fusion technology, the method provided in this paper has more advantages, such as: (1) high-precision value; (2)low computation cost; (3)a compact system; (4) applicable to noise images; (5) robotic and automatic performance.
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A Dynamic Programming Based Automatic Nodule Image Segmentation MethodYeh, Chinson 27 July 2001 (has links)
none
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Image Transformation by Numerical MethodsLin, Yi-Chiung 17 June 2002 (has links)
The splitting-integrating method(SIM) is well suited to the
inverse transformations of digital images and patterns in 2D, but
it encounters some difficulties involving nonlinear solutions for
the forward transformation. New techniques are explored in this
thesis to bypass the nonlinear solution process completely, to
save CPU time, and to be more flexible for general and complicated
transformations T, such as the harmonic model which convert the
original shape of images and patterns to other arbitrary shapes.
In this thesis, the finite element method (FEM) are used to seek
the approximate transformation of the harmonic model. The new
methods of image transformation are applied to human face. To
describe the face boundary, we use the method combining
Lagrange polynomial and Hermite interpolation seeking for the
corresponding grid points besides the fixed ones. The greyness of
images under geometric transformations by the
splitting-integrating method has the error bounds,
O(H)+O(H/N^2) as using the piecewise bilinear interpolations
(u =1), for smooth images, where H(<<1) is mesh resolution
of an optical scanner, and N is the division number of a pixel
split into N^2 sub-pixels. Furthermore, there often occur in
practical applications the discontinuity images whose greyness
jump is a minor portion of the entire image, e.g., the piecewise
continuous images but with the interior and exterior boundary of
greyness jumps, or the continuous pictures accompanied with a
finite number of isolated pixels. For this kind of discontinuous
images, the error bounds are also derived in this thesis to be
$O(H^{eta})+O(H^{eta}/N^2), ~ eta
in (0,1]$ as $mu =1$. The image greyness made before was always assumed
to be smooth enough, this error analysis is significant for
geometric image transformations.
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La figura de Dios en los diálogos de Jésus con las autoridades en el templo : lectura de Mc 11,27-12,34 a partir de su instancia comunicativa /Peguero Pérez, Javier, January 2004 (has links)
Texte remanié de: Tesis de doctorado--Teología biblica--Rome--Pontificia Universidad Gregoriana, 2004. / Bibliogr. p. 385-406.
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Efficient Way of Reading Rotary Dial Utility Meter Using Image ProcessingSouare, Moussa January 2009 (has links)
Thesis(M.S.)--Case Western Reserve University, 2009 / Title from PDF (viewed on 2010-01-28) Department of Electrical Engineering and Computer Science -- Electrical Engineering Includes abstract Includes bibliographical references and appendices Available online via the OhioLINK ETD Center
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Regridding in nonrigid image registrationLin, Ting-hung. January 2008 (has links)
Thesis (Ph.D.) -- University of Texas at Arlington, 2008.
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How you look depends on where you are individual and situational factors in body image /Tsukada, Karen Yuki, January 2003 (has links)
Thesis (Ph. D.)--Ohio State University, 2003. / Title from first page of PDF file. Document formatted into pages; contains x, 105 p. Includes abstract and vita. Advisor: W. Bruce Walsh, Dept. of Psychology. Includes bibliographical references (p. 92-101).
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Visual enhancement using multiple cues /Chen, Jia. January 2009 (has links)
Includes bibliographical references (p. 81-90).
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