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Digital Image Processing
A comprehensive digital image processing book that reflects new trends in this field such as document image compression and data compression standards. The book includes a complete rewrite of image data compression, a new chapter on image analysis, and a new section on image morphology.
528 pages, Hardcover
First published January 1, 1977
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1208 people want to read
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Displaying 1 - 30 of 36 reviews
January 20, 2011
This book was designed specifically to be used in advanced computer imaging classes, and taught by a professor (as in only a professor that has worked for years on the material can translate some of the text).
The first 3 chapters are well written and a self-starter (such as myself) can clearly understand the concepts and the application of the material given.
After chapter 3 (4+) this book becomes a stinking pile of shit. The problem lies in the ability to explain the transition from image domain to frequency domain through usage of the Fourier (four-ee-eh) series (specifically DFT/FFT). Using the Fourier series is the MOST important aspect of the book, but the authors do such a terrible job of showing application of the enormous amount of math presented that one is left scratching their head.
I can say (after spending money and time on the book), that if you are a self-learner then steer clear of this book until you find an internet site somewhere that explains Fourier series and application of both DFT/FFT. Then this book might be a good reference.
The first 3 chapters are well written and a self-starter (such as myself) can clearly understand the concepts and the application of the material given.
After chapter 3 (4+) this book becomes a stinking pile of shit. The problem lies in the ability to explain the transition from image domain to frequency domain through usage of the Fourier (four-ee-eh) series (specifically DFT/FFT). Using the Fourier series is the MOST important aspect of the book, but the authors do such a terrible job of showing application of the enormous amount of math presented that one is left scratching their head.
I can say (after spending money and time on the book), that if you are a self-learner then steer clear of this book until you find an internet site somewhere that explains Fourier series and application of both DFT/FFT. Then this book might be a good reference.
February 26, 2016
I read this book and many other books related to computer graphics and digital image processing during 1993-1994 as references for my master's thesis.
November 10, 2019
Very good reference for digital image processing
October 25, 2011
Really good reference AND really good explanations as to WHY which algorithms are used with which applications.
November 4, 2025
Clear, comprehensive, colorful textbook about digital image processing.
My class at Stanford in digital image processing (EE368) leveraged this book for details and pseudocode about operations like morphological image processing, opening and closing, histogram equalization, denoising, Canny edge detection, image segmentation, and the various flavors of noise.
Personally, I prefer the MATLAB version of this book, which supplements theoretical discussions with actual working code that you can run in MATLAB as you read the book. However, this book is longer, delves into greater (theoretical) detail about more concepts, and feels more evergreen as a reference beyond simple learning. If I had to buy one, I'd buy the MATLAB version, but both textbooks have their strengths and place in the library.
I still reference this tome today when I seek concepts to computer vision to apply to image processing operations like masking a photo, cleaning up a noisy image, or detecting edges for segmenting foreground features from background.
An instant classic: buy before your course in digital image processing so you have time to savor all the details and review the text before applying it in actual problem sets and projects!
My class at Stanford in digital image processing (EE368) leveraged this book for details and pseudocode about operations like morphological image processing, opening and closing, histogram equalization, denoising, Canny edge detection, image segmentation, and the various flavors of noise.
Personally, I prefer the MATLAB version of this book, which supplements theoretical discussions with actual working code that you can run in MATLAB as you read the book. However, this book is longer, delves into greater (theoretical) detail about more concepts, and feels more evergreen as a reference beyond simple learning. If I had to buy one, I'd buy the MATLAB version, but both textbooks have their strengths and place in the library.
I still reference this tome today when I seek concepts to computer vision to apply to image processing operations like masking a photo, cleaning up a noisy image, or detecting edges for segmenting foreground features from background.
An instant classic: buy before your course in digital image processing so you have time to savor all the details and review the text before applying it in actual problem sets and projects!
July 28, 2018
This book offers a good understanding of the foundations of digital image processing and provides enough mathematics for learning concepts behind different techniques and algorithms.
A good thing about this book is that it uses a lot of figures and examples which makes reading easy.
Contents have good orders so you will be completely ready when you jump to the next topic.
It usually after explaining a subject, refers to new techniques that are used in image processing, so you gain good sight about new and efficient methods.
I used this book when I had digital image processing course and I think it's not a good idea to take this book for self learning unless you have some previous knowledge.
I had some problems with chapter 4 and unlike other parts, I read it twice to catch all subjects. It's hard to explain Fourier's transform and image in the frequency domain in one chapter but authors did it but the rest of the book is written fluently.
A good thing about this book is that it uses a lot of figures and examples which makes reading easy.
Contents have good orders so you will be completely ready when you jump to the next topic.
It usually after explaining a subject, refers to new techniques that are used in image processing, so you gain good sight about new and efficient methods.
I used this book when I had digital image processing course and I think it's not a good idea to take this book for self learning unless you have some previous knowledge.
I had some problems with chapter 4 and unlike other parts, I read it twice to catch all subjects. It's hard to explain Fourier's transform and image in the frequency domain in one chapter but authors did it but the rest of the book is written fluently.
July 17, 2017
A really great introduction to image processing and analysis. The majority of the data I collect in in my graduate program are images and videos. I was using some programs based in ImageJ, but without a better understanding of the theory and method behind image analysis is like walking in the dark.
The textbook comes with a useful toolbox of MatLab functions. I’m more of a Python guy myself, but hey. It’s easy to go back and forth. I was most interested in segmentation methods when I started, and it does a great job of explaining these in the later chapters of the book.
As expected, the material in here requires a good background in matrix math, so be prepared.
The textbook comes with a useful toolbox of MatLab functions. I’m more of a Python guy myself, but hey. It’s easy to go back and forth. I was most interested in segmentation methods when I started, and it does a great job of explaining these in the later chapters of the book.
As expected, the material in here requires a good background in matrix math, so be prepared.
March 10, 2024
Advanced book on digital image processing. If you are serious about understanding how to process digital images this is a must read book.
Be aware that it is not an extremely easy reading material and it will require dedication and commitment.
Be aware that it is not an extremely easy reading material and it will require dedication and commitment.
February 5, 2018
Excellent! Very clearly written.
April 6, 2019
Fantastic.
November 17, 2019
Its a bible for image processing. *period*
July 8, 2021
The mathematics is not rigorous, and given in a too factual way....but was a good read definitely...made an app named upix(currently at beta in PlayStore), all thanks to this book!
August 11, 2021
This is one of the reference for one university subject. These books I have given them away for passing knowledge, to whomever needed them.
October 9, 2021
It's a good reference for starting image processing but focuses on math more than application....
to-keep-reference
November 18, 2021Lo recomienda Carlos Selmo como referencia clásica al tema de Computer Vision
December 19, 2016
A classic.
Currently reading
December 25, 2016mmm
February 4, 2020
The content and structure are very good. Some parts of the book need more clarifications. FFT and Wavelet transformation are not for DIP beginners and require some knowledge from DSP. A good book overall.
September 20, 2012
Not recommended for math newbies, too much mathematical info that needs external references, some points are not explained well, gives overall ideas about image processing and discrete digital signal processing basics.
Read
March 22, 2007concepts in DIP
May 23, 2012
کتاب مرجع جهت اطلاعات پیشرفته در باره پردازش تصویر در متلب
September 16, 2009
An interesting book.
June 21, 2010
great books, I never learn about Digital Image Processing before when my lecturer proposed us to read this book. It give me a good basic about Digital Image Processing :) Really help.
Read
September 1, 2011the best
August 4, 2012
very useful reference for DIP, but not for the beginners .
November 3, 2012
great book7
This entire review has been hidden because of spoilers.
Want to read
February 21, 2013i want to read
May 1, 2013
A must-have guide for all CS students.
August 24, 2013
The textbook of my university image processing elective. It was the most fun CS course I ever took. I slept with photocopies of this textbook on my bed. We were inseparable!
Displaying 1 - 30 of 36 reviews