Advanced digital imaging laboratory using MATLAB® /
نام عام مواد
[Book]
نام نخستين پديدآور
by Leonid P. Yaroslavsky
مشخصات ظاهری
نام خاص و کميت اثر
1 PDF (various pagings) :
ساير جزييات
color illustrations
یادداشتهای مربوط به مندرجات
متن يادداشت
Preface -- Author biography -- Introduction -- General remarks about the book -- Instructions for readers
متن يادداشت
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
متن يادداشت
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
متن يادداشت
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 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
متن يادداشت
Methods of image enhancement -- Introduction -- Contrast enhancement -- Edge extraction. Max-Min and Size-EV methods -- Questions for self-testing
متن يادداشت
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
متن يادداشت
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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یادداشتهای مربوط به خلاصه یا چکیده
متن يادداشت
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
یادداشتهای مربوط به مخاطبان
متن يادداشت
Graduate students and reseachers
ویراست دیگر از اثر در قالب دیگر رسانه
شماره استاندارد بين المللي کتاب و موسيقي
9780750310512
عنوان به منزله موضوع
موضوع مستند نشده
MATLAB
موضوع (اسم عام یاعبارت اسمی عام)
موضوع مستند نشده
Image processing-- Digital techniques
موضوع مستند نشده
Numerical analysis-- Computer programs
موضوع مستند نشده
Three-dimensional imaging
مقوله موضوعی
موضوع مستند نشده
COM012050
موضوع مستند نشده
UYT
رده بندی کنگره
شماره رده
TA1637
نشانه اثر
.
I273
2014eb
نام شخص به منزله سر شناسه - (مسئولیت معنوی درجه اول )