43 Best Books on Image Processing

We have compiled a list of the Best Reference Books on Image Processing, which are used by students of top universities, and colleges. This will help you choose the right book depending on if you are a beginner or an expert. Here is the complete list of Image Processing Books with their authors, publishers, and an unbiased review of them as well as links to the Amazon website to directly purchase them. If permissible, you can also download the free PDF books on Image Processing below.

1. Fundamentals of Image Processing

 
1."Fundamentals of Digital Image Processing" by Sanjay Sharma
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2."Fundamentals of Digital Image Processing" by ANNADURAI
“Fundamentals of Digital Image Processing” Book Review: The book delves into five crucial aspects of digital image processing: image enhancement, transformation, segmentation, compression, and restoration. The aim of the book is to provide the reader with a strong and comprehensive theoretical foundation in digital image processing, which is presented in a clear and straightforward manner. The book is further enriched by numerous colorful illustrations.

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3."Fundamentals of Digital Image Processing" by Jain A K
“Fundamentals of Digital Image Processing” Book Review: This book offers a comprehensive coverage of digital image processing topics such as representation, processing techniques, and communication. It delves into various aspects of image representation such as luminance, color, spacial and temporal properties of vision, and digitization. The book provides a thorough explanation of image processing techniques, and includes a comprehensive treatment of stochastic models that aid in understanding the fundamental techniques of image restoration and coding. With over 400 pieces of art and numerous illustrative diagrams, the book is designed to help the reader in comprehending the subject.

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4."Fundamentals of Digital Image Processing: A Practical Approach with Examples in Matlab" by Chris Solomon and Toby Breckon
“Fundamentals of Digital Image Processing: A Practical Approach with Examples in Matlab” Book Review: The target audience for this book includes undergraduates, graduates, and research scholars in electrical and electronics fields, as well as students of embedded systems and computer engineering. It presents a comprehensive introduction to the science of image processing, covering key concepts and techniques in detail. The theory is illustrated with practical examples and code fragments. The book concentrates on the essential elements of image processing techniques, making it useful for both beginners and experienced researchers. The practical aspects of the subject are emphasized using the MatLab programming language. Additionally, the book highlights applications of image processing in medical imaging and Geographic Information Systems.

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5."Image Processing: The Fundamentals" by Maria Petrou and Costas Petrou
“Image Processing: The Fundamentals” Book Review: This book caters to the needs of undergraduate and postgraduate students and researchers from various disciplines, ranging from medicine to mathematics, who are interested in image processing. It covers a wide range of topics including image processing and color, sine and cosine transforms, Independent Component Analysis (ICA), phase congruency, and the monogenic signal, among others. The book includes numerous fully worked-out examples to aid in understanding the concepts. Additionally, it provides practical insights into how image processing methods work. The book also includes a CD containing MATLAB® code for the various examples and algorithms discussed in the book. An accompanying website offers downloadable teaching resources such as slides for instructors.

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6."Fundamentals of Signals and Control Systems (Digital Signal and Image Processing)" by Smain Femmam
“Fundamentals of Signals and Control Systems (Digital Signal and Image Processing)” Book Review: This book is suitable for undergraduates, graduates, and research scholars of electrical and electronics engineering, as well as students of embedded systems and computer engineering. It serves as an introduction to the fundamentals of electronic and data communications, and delves into their modern applications in digital and data communications systems. The book covers signal processing steps, from information source to transmitter, channel, receiver, and information sink. Prior knowledge of basic electronic principles and calculus concepts is assumed, and the book provides a comprehensive understanding of the presented topics.

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7."Optical and Digital Image Processing: Fundamentals and Applications" by Gabriel Cristobal and Peter Schelkens
“Optical and Digital Image Processing: Fundamentals and Applications” Book Review: This book provides cutting-edge methods and techniques currently employed by researchers, as well as significant applications. It covers both optical and digital domains, including fundamental concepts in optics, photonics, information theory, and digital image processing. The book also presents methodologies and techniques as the basis for the rest of the book. It then focuses on applications that follow an optical and/or digital approach. In many cases, the editors demonstrate how various application areas have been addressed by optical, digital, or hybrid optical-digital approaches. This comprehensive and unique book has not been published before.

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8."Image Processing and Mathematical Morphology: Fundamentals and Applications" by Frank Y Shih
“Image Processing and Mathematical Morphology: Fundamentals and Applications” Book Review: This book is designed for both undergraduate and postgraduate students and is also relevant for researchers across various fields, from medicine to mathematics, who have a keen interest in image processing. It covers an array of topics such as image processing and color, sine and cosine transforms, Independent Component Analysis (ICA), phase congruency, the monogenic signal, and other emerging themes. The book contains several fully worked-out examples that illustrate the concepts explained. It then delves into the practical application of image processing methods. The book comes with a CD that includes MATLAB® code for various examples and algorithms presented in the book. Additionally, an accompanying website offers instructors access to slides that can be downloaded and used as teaching aids.

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2. Image Processing

 
1."Digital Image Processing" by Gonzalez and Woods
Book Review: This book offers an introduction to fundamental concepts and methodologies for digital image processing, with a focus on important advancements in all areas of image processing. It is suitable for seniors and graduate students in their first year of study. The topics covered in the book include digital image basics, image enhancement in spatial and frequency domains, image restoration, image color processing, wavelet processing, image compression, image segmentation, morphological image processing, object recognition, and representation and description. This book is also useful for technicians interested in learning the basics and advanced applications of digital image processing.

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2."Digital Image Processing" by William K Pratt
Book Review: The book comprehensively covers advanced and up-to-date concepts in digital image processing. It features interactive computer display examples and programming exercises that effectively illustrate the theoretical concepts in the book. The topics covered include the characterization of continuous images, techniques for image sampling and quantization, and 2-dimensional signal processing. Moreover, the book offers executable versions of PIKS scientific and PIKSTool for the Windows operating system. Additionally, it provides a digital image database of source images to support readers in their study of the subject.

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3."Digital Image Processing" by S Sridhar
Book Review: This book is a valuable resource for undergraduate students studying software engineering, information technology, electrical and electronics engineering, who are interested in digital image processing. The book provides a comprehensive understanding of the principles and processing techniques in the field of digital image processing and their applications. Divided into more than 12 units, the book starts with an introduction to the essentials of digital imaging and then covers topics such as image transforms, image compression, image enhancement, color image processing, and image segmentation. The book also includes popular research domains such as biometrics, steganography, and image mining, providing a brief understanding of these topics. The book strikes a balance between theoretical and mathematical concepts with numerous examples, exercises, review questions, and MATLAB programs.

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4."Digital Image Processing" by Rafael C Gonzalez
“Digital Image Processing” Book Review: The book presented here is a comprehensive guide to the fundamental concepts and methodologies of digital image processing. It is highly illustrated and self-contained, covering all contemporary developments in mainstream areas of image processing. It covers image fundamentals, image enhancement in the spatial and frequency domains, restoration, color image processing, wavelets, image compression, morphology, segmentation, image description and object recognition. This book is ideal for first-year graduate students and seniors from any technical discipline.

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5."DIGITAL IMAGE PROCESSING & ANALYSIS" by Bhabatosh Chanda
“Digital Image Processing Analysis” Book Review: This book provides comprehensive coverage of both the fundamental aspects and the latest advances in the field of digital image processing and analysis. It presents topics with a balance of theory and practical applications. Each chapter has been updated to include recent advancements and emerging concepts, including color image processing. To reinforce real-life problem-solving skills, numerous examples, illustrations, and problem statements are included. Undergraduate and postgraduate students pursuing courses in electronics and communication engineering and computer science and engineering can benefit from this book for both theory and practical applications. Additionally, professional engineers, educators, and researchers will find it a valuable resource.

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6."FUNDAMENTALS OF DIGITAL IMAGE PROCESSING" by Anil K Jain
“Fundamentals of Digital Image Processing” Book Review: The main topics in digital image processing, including representation, processing techniques, and communication, are presented in a concise manner in this book. The author uses numerous illustrative diagrams to explain algorithm developments for image transforms, enhancements, reconstruction, and coding. In addition, the book provides a comprehensive explanation of image processing techniques, stochastic models, and coding. Mathematical tools necessary for understanding image representation, including luminance, color, spatial and temporal properties of vision, and digitization, are also covered. A comprehensive treatment of stochastic models is included, which is useful for understanding fundamental techniques in image restoration. The book also discusses algorithm developments for image transforms, reconstruction, enhancement, and coding.

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7."Digital Image Processing Using MATLAB" by Rafael c Gonzalez
“Digital Image Processing Using MATLAB” Book Review: In this book, the author combines the fundamental concepts of Digital Image Processing with the Image Processing Toolbox from The MathWorks, Inc. to provide a comprehensive overview of the field. The book covers the basics of image processing and software principles involved in their implementation. It also delves into the use of MATLAB for digital image processing, covering both fundamentals and ways to develop new code to enhance the tools. This book is a helpful resource for students and professionals seeking to explore the field of digital image processing.

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8."Image Processing, Analysis, and Machine Vision 0003" by Sonka
“Image Processing, Analysis, and Machine Vision” Book Review: This book offers a comprehensive coverage of the topics encountered in the field of image processing and machine vision. It presents rigorous mathematical coverage for advanced readers, while providing easy-to-understand algorithm descriptions for difficult concepts. The book includes a wealth of carefully selected problems and examples, making it a suitable resource for undergraduates, graduates, researchers, and professionals. It can be used for both image processing and machine vision courses.

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9."Digital Image Processing" by Rafael C Gonzalez and Richard E. Woods
“Digital Image Processing” Book Review: The book introduces the field of digital image processing and covers various imaging methods such as x-ray and gamma-ray imaging. Each chapter includes a summary of concepts, practice problems, and suggested readings. The book covers topics such as visual perception, electromagnetic spectrum, image acquisition and sensing, sampling, object recognition, image segmentation, representation and description, morphological image processing, image compression, multi-resolution processing, and wavelets. The author also includes tables used for image compression methods such as CCITT and JPEG, making it an appropriate reference for both students and professionals.

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10."The Image Processing Handbook" by John C Russ
“The Image Processing Handbook” Book Review: The book presents a systematic exploration of the significant association between 2D images and 3D structures. The author emphasizes the importance of enabling readers to visualize and compare processing and measurement operations. The book demonstrates the implementation of these operations in diverse fields, including microscopy, astronomy, and real-world scientific, industrial, and forensic applications. It is an ideal reference for students and professionals seeking knowledge in this area.

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11."3D Image Processing: Techniques and Clinical Applications (Medical Radiology)" by A L Baert and D Caramella
“3D Image Processing: Techniques and Clinical Applications (Medical Radiology)” Book Review: This book provides a comprehensive overview of 3D image processing in radiology, covering topics such as the representation of complex anatomical structures, accurate procedure planning, and 3D imaging. The technical aspects of image processing, recent developments, principal applications, functional imaging, and computer-aided surgery are discussed in separate chapters. It is an essential resource for medical professionals who wish to deepen their knowledge and understanding of this complex yet vital field of science.

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12."Microwave Dielectric Behaviour of Wet Soils (Remote Sensing and Digital Image Processing)" by Jitendra Behari
“Microwave Dielectric Behaviour of Wet Soils (Remote Sensing and Digital Image Processing)” Book Review: This book is designed for undergraduate students of agricultural engineering as well as working professionals seeking a reference. The book comprehensively covers the topics of wet soil behavior and dielectric measurement, discussing both theoretical and experimental aspects. It provides an understanding of soil science concepts in relation to agriculture and examines microwave measurement techniques and protocols. The book features numerous illustrations and real-life case studies, making it a valuable resource for anyone interested in this field.

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3. Digital Image Processing and Applications

 
1."Image Processing, Analysis and Machine Vision" by Milan Sonka and Vaclav Hlavac and Roger Boyle
Book Review: The book provides an extensive coverage of various topics in image processing and machine vision. It caters to a wide audience including undergraduates, graduates, researchers, and professionals. Moreover, the book includes mathematical aspects, making it suitable for advanced readers. The author has presented easy-to-understand algorithm descriptions for complex concepts and supplemented the text with numerous examples and problems to aid understanding. Overall, this book is a valuable resource for anyone interested in image processing and machine vision.

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2."Digital Image Processing: PIKS Scientific Inside" by William K Pratt
“Digital Image Processing: PIKS Scientific Inside” Book Review: The book offers a comprehensive introduction to digital image processing with a particular focus on PIKS. It covers the latest advancements in the field and is accompanied by PIKS scientific software that provides continuous and discrete two-dimensional image processing, image enhancement, image analysis, and characterization. The book also includes a CD containing the PIKS scientific software manual and executable software. It is a valuable resource for students and professionals interested in the field of digital image processing.

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3."Digital Image Processing" by Jayaraman S
“Digital Image Processing” Book Review: The book offers a concise and practical introduction to digital image processing with up-to-date information. It features an illustrative approach with MATLAB applications and practical examples. The book covers essential topics, including 2D signals and systems, image transformation, enhancement, restoration, and denoising, image segmentation, compression, and wavelet-based processing. It aims to cater to both students and practicing engineers in the digital image processing field.

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4."Digital Image Processing" by Sanjay M Shah Munesh Chandra Trivedi
“Digital Image Processing” Book Review: This book offers a comprehensive introduction to digital image processing, covering a wide range of topics commonly taught in various institutions. It covers key areas such as image enhancement in both spatial and frequency domains, color image processing, image restoration, morphological image processing, image segmentation, feature extraction, object recognition, image coding and compression, among others. The book is written in simple language and includes an introduction to MATLAB. It is suitable for students and professionals alike who are interested in digital image processing.

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5."Digital Image Processing: An Algorithmic Introduction Using Java" by Wilhelm Burger and Mark J Burge
“Digital Image Processing: An Algorithmic Introduction Using Java” Book Review: This updated edition of a comprehensive textbook on digital image processing is designed to provide a thorough understanding of critical strategies for both beginners and experts. Emphasizing real-world applications, the book includes detailed algorithmic descriptions and their practical implementations, along with examples and chapter-ending exercises for better understanding. The authors, drawing on their extensive teaching experience, also provide adaptable Java code and worked-out sample models. Additionally, the book’s website includes source code, sample images, and additional teaching resources. This definitive textbook on advanced image processing is an essential resource for students, researchers, and professionals seeking current research and practical applications of leading algorithms in the field.

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6."Digital Image Processing for Medical Applications South Asian Edition" by Geoff Dougherty
“Digital Image Processing for Medical Applications South Asian Edition” Book Review: This book highlights how this particular book on digital image processing stands out due to its emphasis on hands-on learning and clinical examples. The book is suitable for both undergraduate and graduate students who are interested in advanced picture handling. It covers the major clinical imaging modalities and explains how images are created and obtained. The book then focuses on standard image processing techniques, highlighting application-based problems and critical thinking. Practical exercises are included to demonstrate the significance of these techniques for real-world images. The book provides access to all images, software tools, and custom modules via a helpful website.

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7."Fundamentals of Digital Image Processing" by Jain A K
“Fundamentals of Digital Image Processing” Book Review: The book authored by AK Jain is an extensive guide for students seeking to advance their knowledge in digital image processing. It covers the fundamental mathematical tools required for the subject and provides comprehensive information on stochastic models. The book delves into various aspects of image representation, including color, luminance, spatial, shading, and temporal properties, as well as digitization. It also covers a range of image processing techniques and provides guidance on developing algorithms for image transformations, enhancements, reconstruction, and coding.

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8."Digital Image Processing: An Algorithmic Approach with MATLAB" by Uvais Qidwai and C H Chen
“Digital Image Processing: An Algorithmic Approach with MATLAB” Book Review: This book offers a user-friendly approach to learning the fundamentals of image processing while avoiding complex mathematical and coding aspects. The book employs MATLAB software to implement algorithms and calculations, eliminating students’ linguistic and troubleshooting issues. Each chapter is divided into three parts: the first section presents the theory in a simple and basic style with traditional language and math, the second section explains the theory using flowcharts to streamline the concepts and establish a foundation for students to code in any programming language, and the final section provides MATLAB codes for reproducing the figures presented in the chapter. The book’s colored print enhances user engagement. It is a comprehensive textbook that equips college students in computer science and engineering with a basic understanding of digital image processing, aiding them in comprehending advanced subjects and contemporary mathematical materials in later courses. The book also includes numerous programming exercises that provide students with extensive practice.

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9."Digital Image Processing: Principles and Applications" by Gregory A Baxes
“Digital Image Processing: Principles and Applications” Book Review: This book is a practical guide to digital image processing that avoids the use of complicated mathematics and programming. It is designed as a reference for professionals in various fields, including clinical imaging, technical management, machine vision, and graphics design. The book teaches fundamental concepts, principles, techniques, and technologies of digital image processing in clear and concise language. It includes sample images and a CD-ROM with a complete digital image processing program that allows readers to practice as they learn. The book is ideal for those who want to quickly acquire specialized skills in digital image processing without the need for complex equations or coding.

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10."Microphone Arrays: Signal Processing Techniques and Applications (Digital Signal Processing)" by Michael Brandstein and Darren Ward
“Microphone Arrays: Signal Processing Techniques and Applications (Digital Signal Processing)” Book Review: The book authored by Michael Brandstein and Darren Ward is organized into four sections, which cover the major areas of microphone array research. The first two sections mainly focus on the theoretical aspects of speech enhancement and source localization using microphone arrays. The third section deals with various specific applications of array-based technology, while the fourth section addresses open questions and explores the progress of the field. The book is suitable for a wide audience, ranging from undergraduate students and working engineers who are new to the field to advanced researchers with experience in multi-channel signal processing.

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11."Digital Image Processing Using Matlab" by Gopi
“Digital Image Processing Using Matlab” Book Review: The book by Gopi is aimed at engineers, physicists, and undergraduate students looking to enter the field of image processing. The book focuses on image processing techniques, including detail extraction, object recognition, and using MATLAB for these tasks. The book covers a range of topics, such as digital image fundamentals, image transformations, image enhancements, image restoration and recognition, and image compression. Each chapter also includes program illustrations at the end to help the reader practice and understand the concepts covered.

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12."Two-Dimensional Digital Filters for Image Processing Applications" by Muhammad Tariqus Salam
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13."Radar Interferometry: Data Interpretation and Error Analysis (Remote Sensing and Digital Image Processing)" by Ramon F Hanssen
“Radar Interferometry: Data Interpretation and Error Analysis (Remote Sensing and Digital Image Processing)” Book Review: This book is a comprehensive guide to understanding the principles and techniques of radar interferometry. The book is authored by Ramon F. Hanssen and is part of the Remote Sensing and Digital Image Processing series. It covers the basic concepts of interferometry and its applications in remote sensing. The book is divided into three sections: principles, data interpretation, and error analysis. Topics include interferometry basics, image formation, data processing, geodesy, deformation analysis, error sources, and quality assessment. It is an essential resource for researchers, students, and professionals in the field of remote sensing and geosciences.

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14."Remote Sensing Time Series (Remote Sensing and Digital Image Processing)" by Stefan Dech and Wolfgang Wagner
“Remote Sensing Time Series (Remote Sensing and Digital Image Processing)” Book Review: The book focuses on the analysis of time series data obtained from earth observation. It includes carefully curated reviews and methods that provide a comprehensive understanding of time series processing and recent advancements in the optical and radar domains. The topics covered in the book also address the identification of changes in multi-class land cover and land use at both national and continental scales.

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15."Digital Image Processing and Analysis: Human and Computer Vision Applications with CVIPtools" by Scott E Umbaugh
“Digital Image Processing and Analysis: Human and Computer Vision Applications with CVIPtools” Book Review: The detailed methodology presented in this book is not only useful for practitioners of computer vision but also for advanced undergraduate and graduate students. It provides the required concepts and models for analyzing digital images and developing computer vision and human consumption applications. The book covers the topics in a sequence necessary for understanding the practical imaging model under study. It unifies image processing and analysis into a single framework, equipping readers with the tools to develop and advance computer and human vision applications. The book also discusses the theory and foundations of digital image processing and the algorithm development necessary for furthering the field.

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4. Advance Digital Image Processing and Computer Vision

 
1."Advances in Digital Image Processing: Theory, Application, Implementation" by P Stucki
“Advances in Digital Image Processing: Theory, Application, Implementation” Book Review: The target audience of this book includes computer engineering students, researchers, and scientists. The book covers topics such as tomography, thermography, and large-scale integration. It mainly focuses on the theory, limitations, and applications of digital image processing, particularly in the processing of high-resolution achromatic and color images. Additionally, the book addresses signal processing research and design innovation activities.

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2."Digital Image Processing and Computer Vision" by Milan Sonka and Vaclav Hlavac
“Digital Image Processing and Computer Vision” Book Review: The target audience of this book is students, researchers and scientists who want to understand the concepts of image processing and computer vision. It provides clear explanations and easy-to-understand algorithm descriptions of complex concepts. The book also includes examples, questions and exercises at the end of each chapter.

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3."Principles of Digital Image Processing: Fundamental Techniques" by Wilhelm Burger and Mark J Burge
“Principles of Digital Image Processing: Fundamental Techniques” Book Review: This book on digital image processing is targeted towards students, researchers and scientists. It covers the fundamental principles of digital image processing with a modern, algorithmic approach. The book provides a comprehensive understanding of basic concepts and properties of digital images, as well as fundamental techniques used in image processing. Each chapter is supplemented with examples, exercises and questions to reinforce learning.

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4."Image Processing for Computer Graphics and Vision" by Luiz Velho and Alejandro C Frery
“Image Processing for Computer Graphics and Vision” Book Review: This book is intended for students, researchers, and scientists interested in signal processing, data discretization, and color theory. It provides an in-depth explanation of image operations, including dithering, half-toning, warping, morphing, and image processing. The book covers probability theory for image processing and offers practical applications of the concepts discussed. Additionally, the book includes examples and exercises at the end of each chapter to help reinforce learning.

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5."Digital Image Processing for Ophthalmology: Detection of the Optic Nerve Head" by imusti
“Digital Image Processing for Ophthalmology: Detection of the Optic Nerve Head” Book Review: The target audience for this book is students of biomedical engineering, researchers, and scientists. The book covers the topic of diagnostic imaging of the retina, along with an overview of image processing techniques in ophthalmology. The Hough transform is discussed in detail as a means of detecting lines and circles. Concepts are illustrated using figures and diagrams, and examples are provided to enhance understanding. The book also includes exercises and questions at the end of each chapter.

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6."Digital Image Processing Systems: Proceedings (Lecture Notes in Computer Science)" by Leonard Bolc and Z Kulpa
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7."Digital Image Processing and Pattern Recognition" by Pakhira M K
“Digital Image Processing and Pattern Recognition” Book Review: The book is intended for undergraduate and postgraduate students studying computer science and engineering, as well as electronics and communication engineering. It discusses topics such as image formation, digitization, lower level processing, image analysis, and image compression. Additionally, the book covers statistical decision making, decision tree learning, artificial neural networks, and clustering. Each chapter includes various examples and diagrams, as well as exercise questions at the end.

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8."Digital Image Processing: An Algorithmic Approach" by Madhuri and Joshi
“Digital Image Processing: An Algorithmic Approach” Book Review: This book is aimed at undergraduate and postgraduate students of electronics and computer science engineering, providing an overview of the applications of image processing. It covers image fundamentals, spatial and frequency domain image enhancement, image construction, and reconstruction from projections. The book also includes discussions on various image transforms and their applications in biometrics, speaker recognition, satellite imaging, and medical imaging. The chapters are illustrated with diagrams and examples to facilitate understanding, and exercise questions are provided at the end of each chapter.

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We have put a lot of effort into researching the best books on Image Processing and came out with a recommended list and their reviews. If any more book needs to be added to this list, please email us. We are working on free pdf downloads for books on Image Processing and will publish the download link here. Fill out this Image Processing books pdf download" request form for download notification.

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