Digital image processing books that You Can Buy
2. Introductory Digital Image Processing: A Remote Sensing Perspective (Pearson Series in Geographic Information Science)
3. Image Processing Masterclass with Python: 50+ Solutions and Techniques Solving Complex Digital Image Processing Challenges Using Numpy, Scipy, Pytorch and Keras (English Edition)
"Fundamentals of Digital Image Processing: A Practical Approach with Examples in Matlab" is a textbook that provides an introduction to digital image processing and its applications. The book is written by Chris Solomon and aims to provide a practical approach to the subject, with a focus on using examples in Matlab to illustrate key concepts.
The book covers a wide range of topics in digital image processing, including image enhancement, image restoration, image segmentation, image compression, and image analysis. It also includes chapters on color image processing and wavelets, as well as a chapter on the use of Matlab for image processing.
Throughout the book, the authors provide detailed explanations of key concepts and techniques, as well as numerous examples and exercises to help readers develop their skills in digital image processing. The book is suitable for students and professionals who are interested in learning about digital image processing and its applications.
"Architectural Photography, 3rd Edition: Composition, Capture, and Digital Image Processing" is a comprehensive guide to the art and technique of architectural photography. The book covers a wide range of topics, including how to compose photographs of buildings and other structures, how to capture high-quality images using a variety of camera and lighting techniques, and how to process and edit digital images using software such as Adobe Photoshop.
The book is written by Adrian Schulz, a professional architectural photographer with over 20 years of experience in the field. It is suitable for photographers of all levels, from beginners to experienced professionals, and is designed to help readers develop the skills and knowledge they need to create striking, beautiful photographs of buildings and other structures.
In the book, Schulz provides practical tips and techniques for capturing photographs that showcase the beauty and design of buildings, as well as guidance on how to overcome common challenges such as shooting in difficult lighting conditions or capturing large, complex structures. He also discusses the use of digital image processing techniques to enhance and refine photographs, and provides examples of how these techniques can be used to create stunning final images.
Overall, "Architectural Photography, 3rd Edition: Composition, Capture, and Digital Image Processing" is a valuable resource for anyone interested in learning more about the art and technique of architectural photography.
7. Principles of Digital Image Processing: Core Algorithms (Undergraduate Topics in Computer Science)
"Principles of Digital Image Processing: Core Algorithms" is a textbook that introduces the fundamental concepts and techniques of digital image processing. The book is written by Wilhelm Burger and Mark J. Burge and is intended for undergraduate students studying computer science.
The book covers a range of topics in digital image processing, including image representation, enhancement, restoration, segmentation, and analysis. It also discusses the principles behind various image processing algorithms and techniques, including filtering, transformation, and compression.
Throughout the book, the authors provide a balanced treatment of theory and practice, with numerous examples and exercises to help students understand and apply the concepts being discussed. The book also includes chapters on color image processing, image compression, and image analysis, as well as a number of case studies that illustrate the real-world applications of digital image processing.
Overall, "Principles of Digital Image Processing: Core Algorithms" is a comprehensive and accessible introduction to the field of digital image processing, making it an ideal textbook for undergraduate students studying computer science or a related field.