Digital image denoising in MATLAB / (Record no. 95933)

000 -LEADER
fixed length control field 07184cam a2200553 i 4500
001 - CONTROL NUMBER
control field 14166307
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20260711093925.0
006 - FIXED-LENGTH DATA ELEMENTS--ADDITIONAL MATERIAL CHARACTERISTICS--GENERAL INFORMATION
fixed length control field m o d
007 - PHYSICAL DESCRIPTION FIXED FIELD--GENERAL INFORMATION
fixed length control field cr cnu---unuuu
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 260707t20242024njua ob 001 0 eng
010 ## - LIBRARY OF CONGRESS CONTROL NUMBER
LC control number 2023055006
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9781119617693
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9781119617730
Qualifying information electronic book
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 1119617731
Qualifying information electronic book
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9781119617754
Qualifying information electronic book
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 1119617758
Qualifying information electronic book
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9781119617778
Qualifying information electronic book
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 1119617774
Qualifying information electronic book
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
Cancelled/invalid ISBN 9781119617693
Qualifying information hardcover
024 7# - OTHER STANDARD IDENTIFIER
Standard number or code 10.1002/9781119617778
Source of number or code doi
035 ## - SYSTEM CONTROL NUMBER
System control number (OCoLC)1436019485
035 #9 - SYSTEM CONTROL NUMBER
System control number (OCLCCM-Owned)1436019485
037 ## - SOURCE OF ACQUISITION
Stock number 10556711
Source of stock number/acquisition IEEE
041 ## - LANGUAGE CODE
Language code of text/sound track or separate title eng
042 ## - AUTHENTICATION CODE
Authentication code pcc
049 ## - LOCAL HOLDINGS (OCLC)
Holding library MAIN
050 04 - LIBRARY OF CONGRESS CALL NUMBER
Classification number TA345.5.M42
Item number K65 2024
082 00 - DEWEY DECIMAL CLASSIFICATION NUMBER
Edition number 23
Classification number 006.6
100 1# - MAIN ENTRY--PERSONAL NAME
Preferred name for the person Kok, Chi-Wah,
Relator term author.
Authority record control number http://id.loc.gov/authorities/names/no2008073709
245 10 - TITLE STATEMENT
Title Digital image denoising in MATLAB /
Statement of responsibility, etc Chi-Wah Kok and Wing-Shan Tam.
264 #1 - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT)
Place of publication, distribution, etc Hoboken, NJ :
Name of publisher, distributor, etc John Wiley & Sons, Inc.,
Date of publication, distribution, etc 2024.
264 #4 - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT)
Date of publication, distribution, etc ©2024
300 ## - PHYSICAL DESCRIPTION
Extent 1 online resource (xx, 204 pages) :
Other physical details illustrations (some color)
336 ## - CONTENT TYPE
Content type term text
Content type code txt
Source rdacontent
337 ## - MEDIA TYPE
Media type term computer
Media type code c
Source rdamedia
338 ## - CARRIER TYPE
Carrier type term online resource
Carrier type code cr
Source rdacarrier
504 ## - BIBLIOGRAPHY, ETC. NOTE
Bibliography, etc Includes bibliographical references and index.
505 0# - CONTENTS
Formatted contents note Preface vi -- Acknowledgments viii -- Authors x -- Nomenclature xi -- 1 Digital Image 1 -- 1.1 Color Image 3 -- 1.1.1 Color Filter Array and Demosaicing 5 -- 1.1.2 Perceptual Color Space 5 -- 1.1.3 Grayscale Image 7 -- 1.2 Alternate Domain Image Representation 8 -- 1.3 Digital Imaging in MATLAB 9 -- 1.4 Current Pixel and Neighboring Pixels 10 -- 1.4.1 Boundary Extension 11 -- 1.5 Digital Image Noise 12 -- 1.5.1 Random Noise 13 -- 1.5.2 Gaussian Noise 14 -- 1.5.3 Salt and Pepper Noise 18 -- 1.6 Mixed Noise 19 -- 1.7 Performance Evaluation 21 -- 1.8 Image Quality Measure 22 -- 1.8.1 Mean Squares Error 23 -- 1.8.2 Peak Signal-to-Noise Ratio 25 -- 1.8.3 Texture and Flat PSNR 26 -- 1.8.4 Texture Area Classification 28 -- 1.9 Structural Similarity 30 -- 1.10 Brightness Normalization 33 -- 1.11 Summary 33 -- 1.12 Exercises 34 -- 2 Filtering 36 -- 2.1 Mean Filter 37 -- 2.1.1 Gaussian Smoothing 42 -- 2.2 Wiener Filter 44 -- 2.3 Transform Thresholding 46 -- 2.3.1 Overlapped Block 49 -- 2.4 Median Filter 50 -- 2.4.1 Noise Reduction Performance 52 -- 2.4.2 Adaptive Median Filter 53 -- 2.4.3 Median Filter with Predefined Mask 55 -- 2.4.4 Median of Median 56 -- 2.5 Summary 58 -- 2.6 Exercises 58 -- 3 Wavelet 60 -- 3.1 2D Wavelet Transform 60 -- 3.2 Noise Estimation 62 -- 3.3 Wavelet Denoise 64 -- 3.4 Thresholding 65 -- 3.4.1 Threshold function 66 -- 3.5 Threshold Value 68 -- 3.5.1 Universal Threshold (Donoho Threshold) 68 -- 3.6 Wavelet Wiener 75 -- 3.7 Cycle Spinning 76 -- 3.8 Fusion 80 -- 3.8.1 Baseband Image Fusion 81 -- 3.8.2 Detail Images Fusion 82 -- 3.9 Which Wavelets to Use 85 -- 3.10 Summary 86 -- 3.11 Exercises 87 -- 4 Rank Minimization 88 -- 4.1 Singular Value Decomposition (SVD) 88 -- 4.2 Threshold Denoising through AWGN Analysis 90 -- 4.2.1 Noise Estimation 92 -- 4.2.2 Denoising Performance 93 -- 4.3 Blocked SVD 94 -- 4.4 The Randomized Algorithm 97 -- 4.4.1 Iterative Adjustment 98 -- 4.5 Summary 100 -- 4.6 Exercises 101 -- 5 Variational Method 103 -- 5.1 Total Variation 103 -- 5.1.1 Rudin-Osher-Fatemi (ROF) Model 104 -- 5.1.2 Le-Chartrand-Asaki (LCA) Model 104 -- 5.1.3 Aubert-Aujol (AA) Model 105 -- 5.2 Gradient Descent ROF TV Algorithm 105 -- 5.2.1 Finite Difference Method 106 -- 5.3 Staircase Noise Artifacts 109 -- 5.4 Summary 110 -- 5.5 Exercises 111 -- 6 Nonlocal Means 112 -- 6.1 NonLocal Means 112 -- 6.1.1 Hard Threshold 118 -- 6.2 Adaptive Window Size 120 -- 6.2.1 Patch Window Size Adaptation 121 -- 6.2.2 Search Window Size Adaptation 123 -- 6.3 Summary 125 -- 6.4 Exercises 126 -- 7 Random Sampling 127 -- 7.1 Averaging Multiple Copies of Noisy Images 128 -- 7.2 Missing Pixels and Inpainting 130 -- 7.3 Singular Value Thresholding Inpainting 131 -- 7.4 Wavelet Image Fusion 133 -- 7.5 Summary 135 -- 7.6 Exercises 135 -- Bibliography 141 -- Index 142.
520 ## - SUMMARY, ETC.
Summary, etc "Presents a review of image denoising algorithms with practical MATLAB implementation guidance Digital Image Denoising in MATLAB provides a comprehensive treatment of digital image denoising, containing a variety of techniques with applications in high-quality photo enhancement as well as multi-dimensional signal processing problems such array signal processing, radar signal estimation and detection, and more. Offering systematic guidance on image denoising in theories and in practice through MATLAB. This hands-on guide includes practical examples, chapter summaries, analytical and programming problems, computer simulations, and source codes for all algorithms discussed in the book. The book explains denoising algorithms including linear and nonlinear filtering, Wiener filtering, spatially adaptive and multi-channel processing, transform and wavelet domains processing, singular value decomposition, and various low variance optimization and low rank processing techniques. Throughout the text, the authors address the theory, analysis, and implementation of the denoising algorithms to help readers solve their image processing problems and develop their own solutions. Explains how the quality of an image can be quantified in MATLAB Discusses what constitutes a "naturally looking" image in subjective and analytical terms Presents denoising techniques for a wide range of digital image processing applications Describes the use of denoising as a pre-processing tool for various signal processing applications or big data analysis Requires only a fundamental knowledge of digital signal processing Includes access to a companion website with source codes, exercises, and additional resources Digital Image Denoising in MATLAB is an excellent textbook for undergraduate courses in digital image processing, recognition, and statistical signal processing, and a highly useful reference for researchers and engineers working with digital images, digital video, and other applications requiring denoising techniques"--
Assigning source Provided by publisher.
588 ## - SOURCE OF DESCRIPTION NOTE
Source of description note Description based on online resource; title from digital title page (viewed on June 17, 2024).
630 00 - SUBJECT ADDED ENTRY--UNIFORM TITLE
Uniform title MATLAB.
Authority record control number http://id.loc.gov/authorities/names/n92036881
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Image processing
General subdivision Digital techniques.
Authority record control number http://id.loc.gov/authorities/subjects/sh85064447
655 #0 - INDEX TERM--GENRE/FORM
Genre/form data or focus term Electronic books.
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Tam, Wing-Shan,
Relator term author.
Real World Object URI https://id.oclc.org/worldcat/entity/E39PCjGggXwQCdmPMGqkTrdXwK
Authority record control number http://id.loc.gov/authorities/names/n2012067377
776 08 - ADDITIONAL PHYSICAL FORM ENTRY
Display text Print version:
Main entry heading Kok, Chi-Wah.
Title Digital image denoising in MATLAB
Edition First edition.
Place, publisher, and date of publication Hoboken, NJ : Wiley, 2024
International Standard Book Number 9781119617693
Record control number (DLC) 2023055005
856 40 - ELECTRONIC LOCATION AND ACCESS
Uniform Resource Identifier https://onlinelibrary.wiley.com/doi/book/10.1002/9781119617778
Link text Full text is available at Wiley Online Library. Click here to view.
942 ## - ADDED ENTRY ELEMENTS
Source of classification or shelving scheme
Item type EBOOK
Holdings
Withdrawn status Lost status Source of classification or shelving scheme Damaged status Use restrictions Not for loan Permanent Location Current Location Date acquired Full call number Date last seen Price effective from Item type
        In Process   COLLEGE LIBRARY COLLEGE LIBRARY 2026-07-07 006.6 K8293 2024 2026-07-07 2026-07-07 EBOOK

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