Here is the listing of Best reference books on Digital Image processing.
|1. “Digital Image Processing” by Rafael C. Gonzalez and Richard E. Woods
Book Review: This book introduces the basic concepts and methodologies in the field of digital image processing and is very suitable for seniors and graduate students studying in their first year. This book mainly focuses on contemporary developments in all the areas of image processing like image fundamentals, image enhancement in spatial and frequency domains, restoration, color image processing, wavelets, image compression, morphology, segmentation, image description and object recognition basics.
|2. “Image Processing, Analysis and Machine Vision” by Milan Sonka, Vaclav Hlavac and Roger Boyle
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.
|3. “Fundamentals of Digital Image Processing” by Anil K. Jain
Book Review: The book covers most of the major topics in the field of digital image processing. The topics are stochastic models for digital image processing, mathematical tools, various aspects of image processing like luminance, color, spatial and temporal properties of vision, digitization. The book also explores various image processing technique, discusses algorithm development for image transforms, enhancement, reconstruction and image coding.
Sanfoundry Global Education & Learning Series – Best Reference Books!