Vision is the most powerful of the five human senses. Visual information, conveyed in the form of images
gives better impact than textual information. The fields of digital image processing have grown tremendously
over the past 30 years. The growth of digital image processing has been fueled by technological advances
in digital imaging, computer processors and mass storage devices. Research and development of image processing
technologies have advanced very rapidly in the past decade. Digital image processing is concerned
primarily with the extraction of useful information from images. In this process, it also deals with 1) image
representation, 2) enhancing the quality of an image, 3) restoration of the original image from its degraded
version, and 4) compression of the large amount of data in the images for efficient archiving and retrieval.
Image-processing algorithms can be classified into three different categories. At the lowest level, the algorithm
deals directly with the raw pixel values (image denoising and edge detection are good examples). In the
middle level, the algorithm utilises low-level results for processes such as segmentation and edge linking.
At the highest level, the algorithm attempts to extract semantic information from those provided by the lower
levels. Examples of high-level algorithms are handwriting recognition, face recognition and machine vision
algorithms. The objective of this book is to not only introduce different concepts of digital image processing
to undergraduate and postgraduate students but also to serve as a handbook for practicing engineers.
Simulation is an essential tool in any field related to engineering techniques. In this book, the imageprocessing
algorithms are simulated using MATLAB. It has been the endeavour of the authors to present a
large number of detailed worked examples to illustrate the various digital image-processing concepts.
According to our Reviewer :
“…Authors have taken care to cover the breadth and depth of the subject both in the qualitative as well quantitative way. Plenty of numerical problems and MATLAB programs have been worked out to make the learning of the subject easier…”
This Online Learning Center is designed to enhance your learning experience. It provides a broad array of resources that will benefit both the instructors and students, Visit the Information Center to explore the book's features.
Student’s Center contains MATLAB Codes, Downloadable Images from the book, Chapter on Video Processing, Chapter wise Summary, List of Acronyms, Image Processing Taxonomy, Web Links and Interactive Quiz. This would give you the flavor of the published book.
The Instructor’s Center provides instructors with PowerPoint Slides.
This site will evolve over time and we would be able to provide you with a wide range of resources that are currently under development.