عنوان
پدید آورنده
موضوع
رده
TA1637 .I273 2014eb
TA1637
.
I273
2014eb
کتابخانه
محل استقرار
9780750310505
9780750310512
b427763
Advanced digital imaging laboratory using MATLAB® /
[Book]
by Leonid P. Yaroslavsky
1 PDF (various pagings) :
color illustrations
Preface -- Author biography -- Introduction -- General remarks about the book -- Instructions for readers
Digital image formation and computational imaging -- Introduction -- Image recovery from sparse irregularly sampled data. Recovery of images with occlusions -- Numerical reconstruction of holograms -- Image reconstruction from projections -- Questions for self-testing
Image and noise statistical characterization and diagnostics -- Introduction -- Image histograms -- Image local moments and order statistics -- Pixel attributes and neighborhoods -- Image autocorrelation functions and power spectra -- Image noise -- Empirical diagnostics of image noise -- Questions for self-testing
Image correlators for detection and localization of objects -- Introduction -- Localization of a target on images contaminated with additive uncorrelated Gaussian noise. Normal and anomalous localization errors -- 'Matched filter' correlator versus signal-to-clutter ratio optimal correlator and local versus global signal-to-clutter ratio optimal correlators -- Object localization and image edges -- Questions for self-testing
Image digitization -- Introduction -- Image discretization -- Signal scalar quantization -- Image compression
Image resampling and building continuous image models -- Introduction -- Signal/image subsampling through fractional shifts -- Image resampling using 'continuous' image models -- The three-step rotation algorithm -- Comparison of image resampling methods -- Comparison of signal numerical differentiation and integration methods -- Questions for self-testing
Methods of image enhancement -- Introduction -- Contrast enhancement -- Edge extraction. Max-Min and Size-EV methods -- Questions for self-testing
Methods of image perfecting -- Introduction -- Correcting imaging system transfer functions -- Filtering periodical interferences. Filtering 'banding' noise -- 'Ideal' and empirical Wiener filtering for image denoising and deblurring -- Local adaptive filtering for image denoising -- Filtering impulsive noise using linear filters -- Image denoising using nonlinear (rank) filters -- Questions for self-testing
Statistical image models and pattern formation -- Introduction -- PWN models -- LF models -- PWN&LF and LF&PWN models -- Evolutionary models -- Questions for self-testing
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This is an unusual book. It is a book of exercises, exercises in digital imaging engineering, one of the most important and rapidly developing branches of modern information technology. Studying digital imaging engineering, mastering this profession and working in the area is not possible without obtaining practical skills based on fundamental knowledge in the subject. The current book is aimed at providing technical support for this. It contains exercises on all major topics of digital imaging for students, researchers in experimental sciences and, generally, all practitioners in imaging engineering
Graduate students and reseachers
9780750310512
MATLAB
Image processing-- Digital techniques
Numerical analysis-- Computer programs
Three-dimensional imaging
COM012050
UYT
TA1637
.
I273
2014eb
I︠A︡roslavskiĭ, L. P., (Leonid Pinkhusovich)
Institute of Physics (Great Britain),publisher
Ohio Library and Information Network
20140729203456.0
rda
مطالعه متن کتاب [Book]
Y
