43 Best Books on Image Processing

“Fundamentals of Digital Image Processing” Book Review: The book discusses the five fundamental aspects of digital image processing namely, image enhancement, transformation, segmentation, compression, and restoration. Presented in a simple and lucid manner, the book aims to provide the reader a sound and firm theoretical knowledge on digital image processing. It is supported by a large number of colored illustrations.

“Fundamentals of Digital Image Processing” Book Review: This book provides a thorough overview of the topics in digital Image processing representation, processing, techniques, and communication. It overs aspects of image representation including luminance, color, spacial and temporal properties of vision and digitization. Image processing techniques are explained in full, and comprehensive treatment of stochastic models useful in understanding the fundamental techniques of image restoration and coding is provided. Over 400 pieces of art and numerous illustrative diagrams help the reader in understanding the subject.

“Fundamentals of Digital Image Processing: A Practical Approach with Examples in Matlab” Book Review: This book is designed for undergraduates, graduates, and research scholars of electrical, electronics. And also for students of embedded systems, computer engineering. It provides a comprehensive introduction to the science of image processing. Key concepts and techniques are thoroughly explained and the theory is complemented and consolidated with numerous practical examples and code fragments. It focuses on the essential elements in image processing techniques and is suitable both for beginners and for experienced researchers. It includes the MatLab programming language to enhance understanding of the practical aspects of the subject, applications such as medical imaging and Geographic Information Systems.

“Image Processing: The Fundamentals” Book Review: This book is designed for both undergraduate and postgraduate students. It will also be of value to researchers of various disciplines from medicine to mathematics with a professional interest in image processing. It includes image processing and color, sine and cosine transforms, Independent Component Analysis (ICA), phase congruency and the monogenic signal, and several other new topics. It contains a large number of fully worked-out examples. Later it focuses on an understanding of how image processing methods work in practice. It also includes a CD containing the MATLAB® code of the various examples and algorithms presented in the book. There is also an accompanying website with slides available for download for instructors as a teaching resource.

“Fundamentals of Signals and Control Systems (Digital Signal and Image Processing)” Book Review: This book is designed for undergraduates, graduates, and research scholars of electrical, electronics. And also for students of embedded systems, computer engineering. This book introduces basic electronic and data communications fundamentals. And also explores their application in modern digital and data communications systems. It includes Signals and processing steps from information source through a transmitter, channel, receiver, and information sink. Students with previous knowledge in basic electronic principles and fundamental calculus concepts will gain a complete understanding of the topics presented here.

“Optical and Digital Image Processing: Fundamentals and Applications” Book Review: This book includes the state-of-the-art methods and techniques currently used by the researchers as well as the most significant applications. This book covers both optical and digital domains including the fundamentals, the current state-of-the-art and covering a selected range of applications has not so far been published. It includes the basic concepts in optics, photonics, information theory, and digital image processing. It also includes methodologies and techniques that serve as the foundations upon which the remainder of the book has been built upon. Later it focuses on applications following an optical and/or digital approach. In most of the cases, the editors’ intention has been to illustrate how the different application areas have been solved by optical, digital, or even hybrid optical-digital approaches.

“Image Processing and Mathematical Morphology: Fundamentals and Applications” Book Review: This book is designed for both undergraduate and postgraduate students. It will also be of value to researchers of various disciplines from medicine to mathematics with a professional interest in image processing. It includes image processing and color, sine and cosine transforms, Independent Component Analysis (ICA), phase congruency and the monogenic signal, and several other new topics. It contains a large number of fully worked-out examples. Later it focuses on an understanding of how image processing methods work in practice. It also includes a CD containing the MATLAB® code of the various examples and algorithms presented in the book. There is also an accompanying website with slides available for download for instructors as a teaching resource.

Book Review: This book provides introduction to basic concepts and methodologies for digital image processing focusing on the important developments in all areas of image processing and is very suitable for seniors and graduate students studying in their first year. The various topics covered in the book are digital image basics, image enhancement in spatial domain and frequency domain, image restoration, image color processing, wavelet processing, image compression, image segmentation, morphological image processing, object recognition, representation and description. This book is very useful for technicians who are interested in basics and advanced applications of digital image processing.

Book Review: The book covers all the advanced and updated concepts in the field of digital image processing. The book includes interactive computer display examples and many programming exercises that demonstrated the theoretical content present in the book. The various topics included in the book are characterization of continuous images, image sampling and quantization techniques, 2-dimensional signal processing techniques. The book also contains executable versions of PIKS scientific and PIKSTool of the windows operating system. The book also contains digital image database of source images.

Book Review: This book is very useful for undergraduate students of software engineering, IT (information technology), electrical and electronics engineering. The book deals with the understanding of principles and processing techniques in the field of digital image processing to further study the utility of images. Divided into more than 12 units, this book begins with an introduction on essentials followed by a short part on computerized imaging framework, and afterward extensively addresses the main subjects of interest, for example, image transforms, image compression, image enhancement, colour image processing and image segmentation. The book also deals with popular research domains like biometrics, steganography, image mining thereby providing a brief understanding of these topics. The book also provides a balance between theoretical and mathematical concepts with the help of various examples, exercises, review questions and MATLAB programs.

“Digital Image Processing” Book Review: This self-contained book introduces the basic concepts and methodologies for digital image processing. It is completely self-contained and heavily illustrated. It introduces basic concepts and methodologies for digital image processing. It focuses on contemporary developments in all mainstream areas of image processing including image fundamentals, image enhancement in the spatial and frequency domains, restoration, color image processing, wavelets, image compression, morphology, segmentation, image description and the fundamentals of object recognition. The text is suitable for seniors and first-year graduate students in almost any technical discipline.

“Digital Image Processing Analysis” Book Review: This book covers both the fundamental aspects and the advances made in the field of digital image processing and analysis. It covers the topics in terms of both theory and practice. Each chapter has been modified to reflect recent advances as well as emerging concepts. Colour image processing and emerging concepts in the field have been incorporated in each chapter. Numerous examples, illustrations and problem statements are added to test the student’s understanding of real-life problems. Students pursuing courses in electronics and communication engineering and computer science and engineering, at the undergraduate and postgraduate levels, can refer to this book for both theory and practice. Professional engineers, teachers, and researchers will also find this book useful.

“Fundamentals of Digital Image Processing” Book Review: This book offers a concise overview of fundamental topics in digital image processing including representation, processing, techniques, and communication. The author discusses algorithm developments for image transforms, enhancements, reconstruction, and image coding with the help of numerous illustrative diagrams. Comprehensive explanation of image processing techniques, stochastic models, and coding are also provided. With the addition of necessary mathematical tools, the text has also covered aspects of image representation including luminance, colour, spatial and temporal properties of vision and digitization. It talks about comprehensive treatment of stochastic models which are useful in understanding the fundamental techniques of image restoration. It also discusses algorithm developments for image transforms, reconstruction, enhancement, and image coding.

“Digital Image Processing Using MATLAB” Book Review: This book covers the fundamentals of image processing and the software principles used in their implementation. The author successfully integrates all the fundamental concepts of Digital Image Processing and the Image Processing Toolbox from The MathWorks, Inc into one body of work. This book provides a detailed overview on digital image processing Using MATLAB. It covers image processing fundamentals and the software principles used in implementing those principles. It also emphasizes how to enhance those tools by developing new code. This book can be referred by students and professionals for further exploration of the field.

“Image Processing, Analysis, and Machine Vision” Book Review: This book provides a deep and wide coverage of the full range of topics encountered in the field of image processing and machine vision. Rigorous mathematical coverage is included for more advanced readers. Its wealth of carefully selected problems and examples plus its easy-to-understand algorithm descriptions of difficult concepts makes it a suitable read for undergraduates, graduates, researchers, and professionals. Both image processing and machine vision courses can be understood with this book.

“Digital Image Processing” Book Review: This book introduces the area of digital image processing, and outlining x-ray and gamma-ray imaging, and other means of imaging. Every chapter in the book concludes with a short overview of the concepts, as well as problems to solve and a list of further reading. Other concepts covered in the book are visual perception, the electromagnetic spectrum, light, image acquisition and sensing, sampling, object recognition, image segmentation, description and representation, morphological image processing, image compression, multi-resolution processing, and wavelets. The author has also provided the tables that are utilized for CCITT, JPEG, and other image compression methods making it a suitable book for students and professionals alike.

“The Image Processing Handbook” Book Review: This book explores the important relationship between 2D images and 3D structures and presents it in a logically organized manner. The author focuses on helping readers visualize and compare processing and measurement operations. The book explains how such operations are usually implemented in a variety of fields ranging from microscopy and astronomy to real-world scientific, industrial, and forensic applications. The book is suitable for students and professionals interested in this field.

“3D Image Processing: Techniques and Clinical Applications (Medical Radiology)” Book Review: This book gives an overview of 3D image processing used in radiology. This book discusses the representation of complex anatomical structures, accurate planning of procedures and 3d imaging. Chapters included are technical aspects of image processing, development in the recent years, principal applications, function imaging and computer-aided surgery. This book is useful for medical professionals who have interest in this complex yet important field of science.

“Microwave Dielectric Behaviour of Wet Soils (Remote Sensing and Digital Image Processing)” Book Review: This book is written for the undergraduate students of agricultural engineering. It can also be used by working professionals as a reference. This book covers the topics of behaviour and dielectric measurement of wet soil. It discusses the properties of wet soil both from theoretical and experimental points of view. It covers the concepts of soil science in relation to agriculture. It also reviews the topic of microwave measurement techniques and protocols. This book has included many illustrations. It also has many real-life case-studies.

Book Review: This book widely covers various topics in the field of image processing and machine vision. This book is very useful for undergraduates, graduates, researchers and professionals. Additionally, the book also has mathematical coverage thereby making it suitable for advanced readers. The book also contains easy to understand algorithm descriptions of many difficult concepts and also contains many problems and examples thereby making it very useful for the readers.

“Digital Image Processing: PIKS Scientific Inside” Book Review: This book provides a fundamental overview on digital image processing. It talks about PIKS in detail. It accounts for new developments in the field. It is accompanied with software that is based on PIKS scientific rather than PIKS core. The CD contains all the contents of PIKS scientific software manual developed by the author and the executable PIKS scientific software. It contains continuous image characterization, digital image characterization, discrete two-dimensional processing, image improvement, image analysis and image processing software.

“Digital Image Processing” Book Review: This book provides a fundamental overview on digital image processing. It provides a clear and up-to-date introduction to digital image processing in a practical style. It provides illustrative approach, practical examples, and MATLAB applications. It covers important topics like introduction to image processing, 2D signals and systems, convolution and correlation, image transformation, enhancement, restoration and denoising, image segmentation, image compression and wavelet-based image processing. It is designed to focus on students and practicing engineers in the field of digital image processing.

“Digital Image Processing” Book Review: This book provides a comprehensive overview on digital image processing. It is simple to understand and talks about numerous topics covered in various institutions. It covers introduction to image processing, image enhancement in spatial domain, image enhancement in frequency domain, image restoration, color image processing, and much more. It discusses morphological image processing registration, image segmentations, feature extraction, object recognition, image coding and compression, others. It talks about introduction to MATLAB.

“Digital Image Processing: An Algorithmic Introduction Using Java” Book Review: This thoroughly updated new version of a universally effective book provides a basic introduction to the critical strategies in digital image processing for instructors as well as experts. Main focus is put on real-life application, introducing exact algorithmic portrayals in big detail, while featuring direct associations between the numerical establishments and solid execution. The content is upheld by functional models and deliberately built section finishing practices drawn from the creators’ long term of instructing experience, including effectively versatile Java code and totally worked out sample models. Also some source code, test pictures and extra teaching materials are likewise given at a related site. This book titled Advanced Image Processing is the conclusive reading material for understudies, scientists, and experts looking for basic research and current usage of the main algorithms in the subject and is also of great help during self study.

“Digital Image Processing for Medical Applications South Asian Edition” Book Review: The most effective way to learn digital image processing is by practicing. This content takes its inspiration from clinical examples and uses genuine clinical pictures and circumstances to outline and explain ideas and to assemble instinct, knowledge and comprehension. The book is primarily designed for graduate and undergraduate students who will become end-clients of advanced picture handling, it includes the introduction of the major clinical imaging modalities, clarifying how the pictures are created and obtained. At that point it presents the standard picture preparing techniques, emphasizing on application based problems and critical thinking. Essentially, the book clarifies when and why specific tasks are done, and reasonable PC based exercises show what these activities mean for practical images. All pictures, connections to the public-area programming software tool ImageJ and custom modules, and chosen arrangements are accessible from www.cambridge.org/books/dougherty, a helpful website.

“Fundamentals of Digital Image Processing” Book Review: The in-depth content provided in the book will be useful for all the students who are trying to advance in the field of digital image processing. This book written by AK Jain presents an exhaustive outline of the significant subjects of computerized picture preparing, starting with the essential numerical apparatuses required for the subject. Provides thorough information on stochastic models for advanced picture preparing. It also includes parts of picture portrayal including color, luminance, spatial, shading and temporal properties of vision and digitization. The book goes through various image processing methods and also talks about building algorithms (programming/firmware) for picture changes, improvement, recreation and coding.

“Digital Image Processing: An Algorithmic Approach with MATLAB” Book Review: This book provides a simple strategy for learning the basics of image processing while staying away from hardcore mathamatical and coding part. The book applies the calculations and algorithms utilizing MATLAB software, without hindering understudies with linguistic and troubleshooting issues. Each chapter is divided into three parts. The principal segment presents the theory in a basic and fundamental style with conventional language and math. The subsequent part clarifies the theory utilizing flowcharts to smooth out the ideas and to frame an establishment for understudies to code in any programming language. The last part provides MATLAB codes for imitating the figures introduced in the section. There are various exercises at the end related to programming which give students a thorough practice. This reading material prepares college understudies in the field of computer science and engineering with a fundamental comprehension of advanced picture handling. It will likewise assist them with understanding of further subjects and modern numerical material in later courses. The book has a colored print which attracts the users attention.

“Digital Image Processing: Principles and Applications” Book Review: This book helps you learn about the topic of digital image processing without the use of hardcore mathematics and coding part. The book serves as a ready reference for all professionals working in clinical imaging, technical management, developers, machine vision, graphics design and also a specialist working at home. This book will prepare you in the field within the least time with all the specialized skill you require to perform complex picture processing tasks. This book doesn’t indulge you in complex numerical equations or lines of programming code. All things considered, in clear sensible language enhanced with various model pictures and the prepared to–run advanced image processing program on the encased plate, it teaches you each step in fundamental computerized picture preparing ideas, standards, methods, and advancements. It comes with a disk that contains test picture documents and is fully completed to run a computerized picture handling program that allows you to do as you learn. There are a lot of primary and finished images that help describe all the methods and activities.

“Microphone Arrays: Signal Processing Techniques and Applications (Digital Signal Processing)” Book Review: This book titled Microphone Arrays: Signal Processing Techniques and Applications (Digital Signal Processing) written by Michael Brandstein and Darren Ward is coordinated into four segments which generally follow the significant zones of today’s microphone array research. Section I and section II are basically theoretical in explaining and focus on the utilization of microphone arrays for speech improvement and source confinement, accordingly. Section III includes various explicit utilizations of technology that is array dependent. Section IV tends to some open queries and investigates the advancement of the field. The outcome is a book that will be of utility to an enormous crowd, from the undergraduate students or working engineers simply moving toward the field to the high level scientist with multi-channel signal preparing experience.

“Digital Image Processing Using Matlab” Book Review: This book titled Digital Image Processing Using Matlab written by Gopi is basically designed for engineers, physicists and undergraduate students who need to start in the field of this subject. The book is recommended for image processing such as extracting details from the image and things like object recognition using MATLAB. The topics covered in the book include digital image fundamentals, image transformations, image enhancements, image restoration and recognition, and image compression. Also there are program illustrations given at the end of each chapter.

“Radar Interferometry: Data Interpretation and Error Analysis (Remote Sensing and Digital Image Processing)” Book Review: The book is mainly the contributions and results received from the research on remote sensing. It discusses various issues involved with different types of errors, data processing and satellite positioning.

“Remote Sensing Time Series (Remote Sensing and Digital Image Processing)” Book Review: The book is all about earth observation based time series analysis. It consists of selected reviews and methods providing a good knowledge of time series processing and recent advances in optical and radar domain. The book topics addresses multi-class land cover and land use change at national to continental scale.

“Digital Image Processing and Analysis: Human and Computer Vision Applications with CVIPtools” Book Review: This book is designed for advanced undergraduate and graduate students, the detailed methodological presentation will also be useful for practitioners of computer vision. This book provides the concepts and models required to analyze digital images and develop computer vision and human consumption applications.The book presents topics as they become necessary for understanding the practical imaging model under study.It provides The Tools For Developing And Advancing Computer And Human Vision Applications And Brings Image Processing And Analysis Together Into A Unified Framework K.Later it discusses the theory and foundations of digital image processing and the algorithm development needed to advance the field.

“Advances in Digital Image Processing: Theory, Application, Implementation” Book Review: This book is designed for the students of computer engineering, researchers and scientists. It discusses the tomography and thermography. It explains the large scale integration. It basically deals with theory, limitations and applications of digital image implementation. It focuses on the processing of high­ resolution achromatic and color images. It covers the signal-processing research and design innovation activities.

“Digital Image Processing and Computer Vision” Book Review: This book is designed for the students, researchers and scientists. It explains all the concepts of image processing and computer vision. It also covers the easy to understand algorithm description of difficult concepts. It also consists of examples, questions and exercises at the end of the chapter.

“Principles of Digital Image Processing: Fundamental Techniques” Book Review: This book is designed for the students, researchers and scientists. It basically deals with the principles of digital image processing. This book provides the modern, algorithmic introduction to digital image processing. It provides the basic concepts and elementary properties of digital images. The fundamentals techniques used in image processing is also discussed. It also consists of examples, exercises and questions at the end of the chapter.

“Image Processing for Computer Graphics and Vision” Book Review: This book is designed for the students, researchers and scientists. The topics are signal processing, data discretization and theory of colour. It also explains the operations in images, dithering, half-toning, warping, morphing and image processing. It covers the probability theory for image processing. Along with the theoretical portions it also covers the practical applications of image processing. It also consists of examples,and exercises at the end of the chapter.

“Digital Image Processing for Ophthalmology: Detection of the Optic Nerve Head” Book Review: This book is designed for the students of biomedical engineering, researchers and scientists. It explains the diagnostic imaging of the retina. It also discusses an overview of image processing techniques for ophthalmology. It focuses on the hough transform for the detection of lines and circles. It discusses the concepts with examples,figures and diagrams. It also consists of exercises and questions at the end of the chapter.

“Digital Image Processing and Pattern Recognition” Book Review: The book is valuable for undergraduate and postgraduate students of computer science and engineering and electronics and communication engineering. It covers the information about image formation, digitization, lower level processing, image analysis and image compression. The book also contains statistical decision making, decision tree learning, artificial neural networks and clustering. Various examples and diagrams are also provided in the chapter. The book provides exercise questions at the end of each chapter.

“Digital Image Processing: An Algorithmic Approach” Book Review: This book is useful for undergraduate and postgraduate students of electronics and computer science engineering. It gives the applications of image processing. The book explains image fundamentals, image enhancement in the spatial and frequency domains, image construction and image reconstruction from projections. It contains different image transforms and applications of image processing in biometrics, speaker recognition, satellite imaging and medical imaging. The book provides various diagrams and examples to make the topic easy to understand.