10 Best Books on Image and Vision Computing

We have compiled a list of the Best Reference Books on Image and Vision Computing, 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 and Vision Computing 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 and Vision Computing below.

1."Pattern Recognition and Machine Learning (Information Science and Statistics)" by Christopher M Bishop “Pattern Recognition and Machine Learning (Information Science and Statistics)” Book Review: This book introduces Bayesian view points with pattern recognition. It includes different algorithms and situational answers for inference. Graphic models are illustrated in this book for probability distribution. This book covers multivariate calculus, linear algebra and use of other self probability theories.
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2."Visibility Algorithms in the Plane" by Subir Kumar Ghosh “Visibility Algorithms in the Plane” Book Review: The book examines the complexities of two-dimensional visibility algorithms. Point and weak visibility as well as the shortest paths of basic algorithms are thoroughly discussed. Furthermore, the book covers advanced topics such as visibility graphs, link paths, and visibility queries, along with numerous lemmas, theorems, and other properties. With over 300 figures and solved exercises, this book is an invaluable resource for both researchers and students of computational geometry. It also serves as a guide for professionals in the fields of robotics, computer graphics, and geometric graph theory.
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3."Deep Learning and Convolutional Neural Networks for Medical Image Computing: Precision Medicine, High Performance and Large-Scale Datasets" by Le Lu and Gustavo Carneiro “Deep Learning and Convolutional Neural Networks for Medical Image Computing: Precision Medicine, High Performance and Large-Scale Datasets” Book Review: The focus of this book is on semantic object detection and the various approaches used in this field. Topics such as segmentation, medical computing, and radiology database mining are discussed in detail. The book gives special attention to convolutional neural networks, along with relevant questions and protocols. Theoretical concepts are complemented by practical examples to facilitate understanding. The book also covers deep learning methods and landmark detection tasks, with a particular emphasis on 2D and 3D medical imaging. Finally, the book provides valuable insights into semantic segmentation techniques using radiology image databases.
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4."Geometric Computing with Clifford Algebras: Theoretical Foundations and Applications in Computer Vision and Robotics" by Gerald Sommer “Geometric Computing with Clifford Algebras: Theoretical Foundations and Applications in Computer Vision and Robotics” Book Review: This book is about Clifford algebra, which is a type of algebra with specific concepts and rules. The book explains how to use this algebra in different examples. It talks about using geometric algebra for mathematical systems within mother algebra. It also discusses how Clifford algebra is useful in the fields of physics and engineering. The book also mentions different problems related to computer science, signal processing, neural computing, and robotics.
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5."OpenCV: Computer Vision Projects with Python" by Joseph Howse and Prateek Joshi “OpenCV: Computer Vision Projects with Python” Book Review: This book is helpful for people who know how to use Python. It covers computer vision applications and explains how to install different softwares like Cvs, NumPy, SciPy, OpenNI, and SensorKinect on both Windows and Linux. The book talks about how to apply color and geometric transformations to images, filter images, and even convert them into cartoon-like images. It also provides information on how to remove objects from images, create 3D maps, and track important objects. Additionally, the book includes information on vector machines, perceptrons, and reality applications.
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6."Image Processing, Analysis and Machine Vision" by Milan Sonka and Vaclav Hlavac “Image Processing, Analysis and Machine Vision” Book Review: This book focuses on image processing and machine vision. This book acts as a guide for students, researchers and professionals interested in this field. Advanced theorems and concepts on mathematics are covered in this book. This book contains problems and examples of algorithms. advertisement advertisement
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7."Algorithms for Image Processing and Computer Vision" by J R Parker “Algorithms for Image Processing and Computer Vision” Book Review: This book covers topics like 2D vision methods, graphic cards and computational aids of image processing. This book is very much useful for software engineers, developers, graphic programmers and scientists of this field. It explains about GPU programming, easy mathematical calculations with certain shortcuts.
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8."Lightroom Transformations: Realizing your vision with Adobe Lightroom plus Photoshop" by Martin Evening “Lightroom Transformations: Realizing your vision with Adobe Lightroom plus Photoshop” Book Review: This book teaches us how to turn a normal photo into a great one using different techniques. It explains how to use montage techniques and special effects. The book mainly focuses on using Lightroom and Camera Raw, which are programs that can adjust the color and tone of the photo. The book provides helpful tips to enhance any type of image. Additionally, it explains various shooting techniques that are best suited for different types of photographs. It also teaches how to compose a photo and adjust the lighting to make it look better.
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9."Learning Image Processing with OpenCV" by Gloria Bueno Garcia and Oscar Deniz Suarez “Learning Image Processing with OpenCV” Book Review: This book is helpful for people who already know how to use Python. It covers computer vision applications and explains various techniques such as filtering, morphology, and sharpening. The book talks about how to apply color and geometric transformations to images and even convert them into cartoon-like images. It provides information on how to remove objects from images, create 3D maps, and track important objects. Additionally, the book covers topics like inpainting, LUTs, GPU based accelerations, HDR imaging, and library installation. This book is useful for both students and professionals working in different industries.
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10."Advances in Visual Computing" by George Bebis and Richard Boyle “Advances in Visual Computing” Book Review: This book highlights the proceedings of visual computing and 11th international symposium. It contains 115 papers and 35 posters. The book includes topics such as computer bioimaging, graphics, motion, tracking, visualisation, mapping and surface reconstruction. Other topics like modelling, aerial robotics, medical imaging, spectral imaging and visual perception are covered in this text. This book highlights virtual reality, transportation systems and robotic systems. 3D computer vision, segmentation, biometrics and pattern recognition are present in the book.
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We have put a lot of effort into researching the best books on Image and Vision Computing 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 and Vision Computing and will publish the download link here. Fill out this Image and Vision Computing books pdf download" request form for download notification.