Advanced digital imaging laboratory using MATLABª /

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Preface -- Author biography -- Introduction -- General remarks about the book -- Instructions for readersImage digitization -- Introduction -- Image discretization -- Signal scalar quantization -- Image compressionDigital 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-testingImage 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-testingImage 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-testingStatistical image models and pattern formation -- Introduction -- PWN models -- LF models -- PWN&LF and LF&PWN models -- Evolutionary models -- Questions for self-testingImage 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-testingMethods 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-testingMethods of image enhancement -- Introduction -- Contrast enhancement -- Edge extraction. Max-Min and Size-EV methods -- Questions for self-testing.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.Also available in print.Mode of access: World Wide Web.System requirements: Adobe Acrobat Reader.Leonid P. Yaroslavsky, MS (summa cum laude, 1961), PhD (1968), Dr Sc. Habilitatus in Physics and Math (1982), OSA Fellow. From 1965 till 1983, the head of the Digital Image Processing and Digital Holography Group at the Institute for Information Transmission Problems (IITP), Russian Academy of Sciences. From 1983 till 1995, the founder and head of the Laboratory of Digital Optics at the IITP. From 1995 till 2008, a full professor at the Faculty of Engineering, Tel Aviv University. Currently a professor emeritus. A visiting professor at the University of Erlangen, Germany; National Institute of Health, Bethesda, MD, USA; Institute of Optics, Orsay, France; Institute Henri Poincar?e, Paris, France; International Centre for Signal Processing, Tampere University of Technology, Finland; Agilent Laboratories, Palo Alto, CA, USA; Gunma University, Kiryu, Japan; Autonomous University of Barcelona, Spain. Supervised 20 PhD candidates. An author and editor of more than 20 books and numerous peer-reviewed publications on digital image processing and digital holography.Title from PDF title page (viewed on July 28, 2014).

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: .,

Collation

1 online resource (various pagings) :color illustrations.

Language

English

ISBN/ISSN

9780750310505

Classification

006.6

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Subject(s)

Image processing
Three-dimensional imaging.
Numerical analysis
Image processing.
COMPUTERS / Image Processing.

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Statement of Responsibility

by Leonid P. Yaroslavsky.

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