Chinhoyi University Of Technology OPAC

Advanced digital imaging laboratory using MATLAB / (Record no. 15191)

MARC details
000 -LEADER
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001 - CONTROL NUMBER
control field 0000031459
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20230921140108.0
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 170117s2016 enkm a000 0 eng
019 ## -
-- 954426455
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9780750312349
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 0750312343
024 8# - OTHER STANDARD IDENTIFIER
Standard number or code 40026599680
035 ## - SYSTEM CONTROL NUMBER
System control number (OCoLC)970660159
035 ## - SYSTEM CONTROL NUMBER
System control number (OCoLC)970660159
Canceled/invalid control number (OCoLC)954426455
040 ## - CATALOGING SOURCE
Original cataloging agency AU@
Language of cataloging eng
Description conventions rda
Transcribing agency AU@
Modifying agency OCLCO
-- YDX
-- OCLCF
-- BTCTA
-- UPM
050 #4 - LIBRARY OF CONGRESS CALL NUMBER
Classification number TA1637
Item number .I273 2016
082 04 - DEWEY DECIMAL CLASSIFICATION NUMBER
Classification number 006.6
Edition number 23
100 1# - MAIN ENTRY--PERSONAL NAME
Personal name Yaroslavsky, Leonid,
Relator term author.
245 10 - TITLE STATEMENT
Title Advanced digital imaging laboratory using MATLAB /
Statement of responsibility, etc. Leonid P. Yaroslavsky, Professor Emeritus, School of Electrical Engineering, Tel Aviv University, Tel Aviv, Israel.
250 ## - EDITION STATEMENT
Edition statement Second edition.
260 ## - PUBLICATION, DISTRIBUTION, ETC.
Place of publication, distribution, etc. Bristol, UK :
Name of publisher, distributor, etc. IOP Publishing,
Date of publication, distribution, etc. [2016]
264 #1 - PRODUCTION, PUBLICATION, DISTRIBUTION, MANUFACTURE, AND COPYRIGHT NOTICE
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
Date of production, publication, distribution, manufacture, or copyright notice ©2016.
300 ## - PHYSICAL DESCRIPTION
Extent 1 volume (various pagings) :
Other physical details color illustrations ;
Dimensions 27 cm.
336 ## - CONTENT TYPE
Content type term text
Content type code txt
Source rdacontent.
337 ## - MEDIA TYPE
Media type term unmediated
Media type code n
Source rdamedia.
338 ## - CARRIER TYPE
Carrier type term volume
Carrier type code nc
Source rdacarrier.
490 1# - SERIES STATEMENT
Series statement IOP expanding physics,
International Standard Serial Number 2053-2563.
490 0# - SERIES STATEMENT
Series statement IOP series in imaging engineering.
500 ## - GENERAL NOTE
General note "Version: 20160901"--Title page verso.
500 ## - GENERAL NOTE
General note Revised edition of : Advanced digital imaging laboratory using MATLAB. 2014.
505 0# - FORMATTED CONTENTS NOTE
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.
630 00 - SUBJECT ADDED ENTRY--UNIFORM TITLE
Uniform title MATLAB.
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Image processing
General subdivision Digital techniques.
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Three-dimensional imaging.
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Numerical analysis
General subdivision Computer programs.
710 2# - ADDED ENTRY--CORPORATE NAME
Corporate name or jurisdiction name as entry element Institute of Physics (Great Britain),
Relator term publisher.
830 #0 - SERIES ADDED ENTRY--UNIFORM TITLE
Uniform title IOP expanding physics.
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Put command parameter 210324
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