MARC details
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07239cam a2200349Ii 4500 |
| 003 - CONTROL NUMBER IDENTIFIER |
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OCoLC |
| 005 - DATE AND TIME OF LATEST TRANSACTION |
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| control field |
20220818123407.0 |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER |
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| International Standard Book Number |
9780750312349 |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER |
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| International Standard Book Number |
9780750312349 |
| 040 ## - CATALOGING SOURCE |
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| Original cataloging agency |
AU@ |
| Language of cataloging |
eng |
| Description conventions |
rda |
| Transcribing agency |
AU@ |
| Modifying agency |
OCLCO |
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YDX |
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OCLCF |
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BTCTA |
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UPM |
| 041 ## - LANGUAGE CODE |
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| Language code of text/sound track or separate title |
Eng |
| 050 #4 - LIBRARY OF CONGRESS CALL NUMBER |
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| Classification number |
TA1637 |
| Item number |
YAR |
| 100 1# - MAIN ENTRY--PERSONAL NAME |
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| Personal name |
I︠A︡roslavskiĭ, L. P. |
| Fuller form of name |
(Leonid Pinkhusovich), |
| Relator term |
Author |
| 245 10 - TITLE STATEMENT |
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| Title |
Advanced digital imaging laboratory using MATLAB / |
| Statement of responsibility, etc. |
Leonid P. Yaroslavsky, Professor Emeritus, School of Electrical Engineering, Tel Aviv University and Tel Aviv, Israel |
| 250 ## - EDITION STATEMENT |
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| Edition statement |
Second edition |
| 264 #1 - PRODUCTION, PUBLICATION, DISTRIBUTION, MANUFACTURE, AND COPYRIGHT NOTICE |
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| Place of production, publication, distribution, manufacture |
Bristol, UK |
| -- |
Philadelphia, PA, USA |
| Name of producer, publisher, distributor, manufacturer |
IOP Publishing, |
| Date of production, publication, distribution, manufacture, or copyright notice |
2016 |
| 264 #4 - PRODUCTION, PUBLICATION, DISTRIBUTION, MANUFACTURE, AND COPYRIGHT NOTICE |
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| Date of production, publication, distribution, manufacture, or copyright notice |
©2016 |
| 300 ## - PHYSICAL DESCRIPTION |
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| Extent |
1 volume (various pagings) : |
| Other physical details |
color illustrations ; |
| 336 ## - CONTENT TYPE |
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| Content type term |
text |
| Content type code |
txt |
| Source |
rdacontent |
| 337 ## - MEDIA TYPE |
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| Media type term |
unmediated |
| Media type code |
n |
| Source |
rdamedia |
| 338 ## - CARRIER TYPE |
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| Carrier type term |
volume |
| Carrier type code |
nc |
| Source |
rdacarrier |
| 490 1# - SERIES STATEMENT |
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| Series statement |
IOP expanding physics, |
| International Standard Serial Number |
2053-2563 |
| 490 0# - SERIES STATEMENT |
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| Series statement |
IOP series in imaging engineering |
| 500 ## - GENERAL NOTE |
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| General note |
"Version: 20160901"--Title page verso |
| 500 ## - GENERAL NOTE |
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| General note |
Revised edition of : Advanced digital imaging laboratory using MATLAB. 2014 |
| 505 0# - FORMATTED CONTENTS NOTE |
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| Formatted contents note |
Machine generated contents note: 1.Introduction -- 1.1.General remarks about the book -- 1.2.Instructions for readers -- 2.Image digitization -- 2.1.Introduction -- 2.2.Image discretization -- 2.2.1.Signal discretization as its expansion over a set of basis functions -- 2.2.2.Image sampling -- Questions for self-testing -- 2.3.Signal scalar quantization -- 2.3.1.Introduction -- 2.3.2.Quantization of achromatic images -- 2.3.3.Quantization of color images -- 2.3.4.Quantization of stereoscopic images -- Questions for self-testing -- 2.4.Image compression -- 2.4.1.Introduction -- Questions for self-testing -- 3.Digital image formation and computational imaging -- 3.1.Introduction -- 3.2.Image recovery from sparse irregularly sampled data. Recovery of images with occlusions -- 3.3.Numerical reconstruction of holograms -- 3.3.1.Introduction -- 3.3.2.Reconstruction of a simulated Fresnel hologram -- 3.3.3.Reconstruction of a real off-axis hologram -- 3.3.4.Comparison of Fourier and Convolutional reconstruction algorithms -- 3.4.Image reconstruction from projections -- Questions for self-testing -- 4.Image resampling and building continuous image models -- 4.1.Introduction -- 4.2.Signal/image sub-sampling through fractional shifts -- 4.3.Comparison of DFT-based and DCT-based discrete sine interpolations -- 4.4.Image resampling using ̀continuous' image models -- 4.4.1.Extracting image arbitrary profiles -- 4.4.2.Image local zoom -- 4.4.3.Image re-sampling according to random pixel X/Y displacement maps -- 4.4.4.Cartesian-to-polar coordinate conversion -- 4.5.Three step image rotation algorithm -- 4.6.Comparison of image resampling methods -- 4.6.1.Point spread functions and frequency responses of different interpolators -- 4.6.2.Multiple rotations of a test image -- 4.6.3.Image multiple zoom-in/zoom-out -- 4.7.Comparison of signal numerical differentiation and integration methods -- 4.7.1.Discrete frequency responses of numerical differentiators and integrators -- 4.7.2.Comparison of numerical differentiation methods -- 4.7.3.Iterative differentiation/integration -- Questions for self-testing -- 5.Image and noise statistical characterization and diagnostics -- 5.1.Introduction -- 5.2.Image histograms -- 5.2.1.Histograms of achromatic images -- 5.2.2.Histograms of color images -- 5.3.Image local moments and order statistics -- 5.4.Pixel attributes and neighborhoods -- 5.4.1.Pixel statistical attributes -- 5.4.2.Pixel neighborhoods -- 5.5.Image autocorrelation functions and power spectra -- 5.5.1.Image autocorrelation functions -- 5.5.2.Image power spectra -- 5.6.Image noise -- 5.6.1.Additive noise -- 5.6.2.Impulsive noise -- 5.6.3.Speckle noise -- 5.7.Empirical diagnostics of image noise -- 5.7.1.Wide band noise -- 5.7.2.Moire noise -- 5.7.3.Banding noise -- Questions for self-testing -- 6.Statistical image models and pattern formation -- 6.1.Introduction -- 6.2.PWN models -- 6.2.1.Binary spatially inhomogeneous texture with controlled local probabilities of òne' -- 6.2.2.Spatially inhomogeneous texture with controlled variances (̀multiplicative noise') -- 6.2.3.Spatially inhomogeneous texture with controlled local histograms -- 6.3.LF models -- 6.3.1.Introduction -- 6.3.2.̀Ring of stars', circular and ring-shaped spectra, ̀fractal' textures -- 6.3.3.Imitation of natural textures -- 6.3.4.Spatially inhomogeneous textures with controlled local spectra -- 6.4.PWN&LF and LF&PWN models -- 6.5.Evolutionary models -- 6.5.1.Generating patchy patterns -- 6.5.2.Generating maze-like patterns -- Questions for self-testing -- 7.Image correlators for detection and localization of objects -- 7.1.Introduction -- 7.2.Localization of a target on images contaminated with additive uncorrelated Gaussian noise. Normal and anomalous localization errors -- 7.2.1.Localization of a target on uniform background -- 7.2.2.Localization of a character in text -- 7.2.3.Threshold effect in the probability of false target detection error -- 7.3.Normal and anomalous localization errors -- 7.4.Matched filter correlator versus signal-to-clutter ratio-optimal correlator. Local versus global signal-to-clutter ratio-optimal correlators -- 7.4.1.Matched filter correlator versus SCR optimal correlator -- 7.4.2.Local versus global SCR optimal correlators -- 7.5.Object localization and image edges -- 7.5.1.Ìmage whitening' -- 7.5.2.Exchange of amplitude spectra of two images -- Questions for self-testing -- 8.Methods of image perfecting -- 8.1.Introduction -- 8.2.Correcting imaging system transfer functions -- 8.2.1.Correction of imaging system gray scale transfer function -- 8.2.2.Correction of imaging system frequency transfer function -- 8.3.Filtering periodical interferences. Filtering ̀banding' noise -- 8.3.1.Introduction -- 8.3.2.Filtering periodical interferences -- 8.4.Filtering ̀banding' noise -- 8.5.Ìdeal' and empirical Wiener filtering for image denoising and deblurring -- 8.5.1.Introduction -- 8.5.2.Comparing image deblurring/denoising capabilities of the ideal and empirical Wiener filters -- 8.5.3.Inspection of potentials of image restoration capability of the ideal and empirical Wiener filters -- 8.6.Local adaptive filtering for image denoising: achromatic images -- 8.6.1.Introduction -- 8.6.2.1D denoising filtering -- 8.6.3.2D denoising filtering: principle -- 8.6.4.2D denoising filtering: global versus local -- 8.7.Local adaptive filtering for image denoising: color images -- 8.8.Filtering impulsive noise using linear filters -- 8.9.Image denoising using nonlinear (rank) filters -- 8.9.1.Filtering additive noise -- 8.9.2.Filtering impulsive noise -- Questions for self-testing -- 9.Methods of image enhancement -- 9.1.Introduction -- 9.2.Enhancement of achromatic images -- 9.2.1.Contrast enhancement -- 9.2.2.Edge extraction: Max-Min and Size-EV methods -- 9.3.Enhancement of color images -- 9.3.1.Introduction |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM |
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| Topical term or geographic name entry element |
Image processing |
| General subdivision |
Digital techniques |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM |
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| Topical term or geographic name entry element |
Three-dimensional imaging |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM |
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| Topical term or geographic name entry element |
Numerical analysis |
| General subdivision |
Computer programs |
| 710 2# - ADDED ENTRY--CORPORATE NAME |
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| Corporate name or jurisdiction name as entry element |
Institute of Physics (Great Britain), |
| Relator term |
publisher |
| 942 ## - ADDED ENTRY ELEMENTS (KOHA) |
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| Source of classification or shelving scheme |
Library of Congress Classification |
| Koha item type |
Books |