Digital image processing books that You Can Buy

Written by- Mashpy Rahman 44268 times views

Image processing is an incredibly demanding task in the field of computer vision. Image processing is transforming the image into digital form and performing certain operations to get some useful information from it. It is used in Image Acquisition, Image Enhancement, Image Restoration, Color Image Processing, Wavelets, Multiresolution Processing, etc. Here are some digital image processing books to learn the basics of image and image processing.

Digital Image Processing
Author: Gonzalez, Rafael
Published at: 20/03/2017
ISBN: 0133356728
"Digital Image Processing" by Rafael C. Gonzalez and Richard E. Woods is a widely used textbook in the field of digital image processing. It provides a comprehensive introduction to the subject, covering both fundamental concepts and practical techniques. The book covers a range of topics, including image enhancement and restoration, image transforms, image data compression, image analysis and machine vision, and image and video processing for multimedia. It also includes a large number of examples and exercises to help readers learn and apply the concepts covered in the book. The book is intended for use in a course on digital image processing, and is suitable for both undergraduate and graduate students. It is also a useful resource for professionals working in fields related to digital image processing, such as computer vision, multimedia, and medical imaging.



Introductory Digital Image Processing: A Remote Sensing Perspective (Pearson Series in Geographic Information Science)
Author: Jensen, John
Published at: 21/04/2015
ISBN: 013405816X
"Introductory Digital Image Processing: A Remote Sensing Perspective" is a textbook written by John Jensen that provides an introduction to the field of digital image processing, with a focus on remote sensing applications. The book covers a range of topics, including image enhancement and restoration, image analysis and classification, and image data manipulation and visualization. It is intended for use in undergraduate and graduate courses in geographic information science, remote sensing, and related fields. The Pearson Series in Geographic Information Science is a series of textbooks that covers various topics in the field of geographic information science, including geospatial data analysis, geographic information systems, and remote sensing.


Image Processing Masterclass with Python: 50+ Solutions and Techniques Solving Complex Digital Image Processing Challenges Using Numpy, Scipy, Pytorch and Keras (English Edition)
Author: Dey, Sandipan
Published at: 10/03/2021
ISBN: 9389898641
"Image Processing Masterclass with Python: 50+ Solutions and Techniques Solving Complex Digital Image Processing Challenges Using Numpy, Scipy, Pytorch and Keras" is a book that aims to provide a comprehensive guide to the field of image processing using Python. The book covers a wide range of topics, including basic image processing techniques, such as filtering and edge detection, as well as more advanced techniques, such as machine learning and deep learning approaches. It also includes practical examples and code snippets to help readers understand and apply the concepts covered in the book. The book is written by Sandipan Dey, an experienced data scientist and machine learning engineer.


The Digital Negative: Raw Image Processing in Lightroom, Camera Raw, and Photoshop
Author: Schewe, Jeff
Published at: 13/09/2012
ISBN: 0321839579
"The Digital Negative: Raw Image Processing in Lightroom, Camera Raw, and Photoshop" is a book written by Jeff Schewe that focuses on the process of editing raw images using Adobe software such as Lightroom, Camera Raw, and Photoshop. Raw images are unprocessed image files that contain all of the data captured by a digital camera's sensor, allowing for more flexibility and control in post-processing. In this book, Schewe provides detailed instructions and tips on how to use these tools to enhance and optimize raw images, including how to adjust exposure, color balance, and other image settings. The book also covers topics such as how to work with HDR (high dynamic range) images, how to correct lens distortion, and how to use gradients and other techniques to make local adjustments to specific areas of an image.


Fundamentals of Digital Image Processing: A Practical Approach with Examples in Matlab
Author: Solomon, Chris
Published at: 04/01/2011
ISBN: 0470844736

"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
Author: Schulz, Adrian
Published at: 30/09/2015
ISBN: 1937538761

"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.



Principles of Digital Image Processing: Core Algorithms (Undergraduate Topics in Computer Science)
Author: Burger, Wilhelm
Published at: 02/04/2009
ISBN: 1848001940

"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.



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