Digital image processing

What Hacker News says

1. atum47Sep 2024
   I've been reading digital image processing by Gonzalez and I must be honest: the sheer thickness of the book makes it very hard to handle (especially lying in bed). As others pointed out already, I do miss the ability of search the text. Good book though
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2. DrNosferatuJan 2023
   Done since the mid-1960's :) but, nevertheless, always an interesting read!

   This is classical (as in pre-GPU AI/ML) Image Processing. The reference text book in the field, "Digital Image Processing" by Gonzalez et al, shows how to do it: like the pioneers at JPL's Image Processing Laboratory (est. 1965) denoised Mars pictures from the Mariner probes using Frequency Domain methods like the posted article uses - see an example below.

   [https://pixelcraft.photo.blog/2021/09/29/the-early-days-of-i...]

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3. _fullpintAug 2019
   OP mentions Essentials Of Statistical Learning — it’s a pretty heavy book that gets mentioned quite a bit.

   From the same Stanford publishing there is Introduction to Statistical Learning. It’s a good intro to Machine Learning as a whole.

   Far too often it seems people want to jump directly into Deep Learning, I’d shy away from that and having a better understanding of ML as a discipline makes the application of DL much more productive.

   Edit: Also would like to add a lot of people want to use DL for imaging stuff. Take some time to understand Digital Image Processing as well. It’s a good introduction to convolution and filtering. As well as just understanding what an image is and what can be done with it!

   This is just sort of advice from my path.

   The second book they mention also had some pretty heavy stuff involving probability and probability models. If you can take some time to understand Automata and it’s supplications such as Hidden Markov Models that’ll be a big help.

   Also you mentioning that you never taking a formal algorithm course. While it isn’t necessary as you probably won’t be building anything from scratch. Learning some dynamic programming methods is very helpful when understanding FFT and it’s impact with convolution methods and also how some of these hidden models for probability are evaluated efficiently.

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4. randcrawOct 2018
   Image Processing: "Digital Image Processing", Gonzalez and Woods. Comprehensive coverage of principles, well written, practical w/ useful examples yet well grounded in signal processing and engineering principles. Complemented nicely by a version of the book rich in examples solved in MATLAB (co-author Steve Eddins).
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5. efferifickSep 2015
   If you are interested in image processing I recommend Digital Image Processing by Gonzalez and Woods. Great introduction to image processing.

   EDIT: Added title. I can't believe I googled the title to make sure I had the correct authors just to forget writing it here.

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6. monk_the_dogOct 2009
   Here's my list:

   For a general introduction:

   * "Digital Image Processing" by Gonzalez and Woods

   * "Image Processing, Analysis, and Machine Vision" by Sonka, Hlavac, and Boyle

   After you learn the basics, some more advanced and specialized books I'd recommend:

   * "Morphological Image Analysis" by Soille.

   * "Insight into Images" by Yoo (explains many of the algorithms in the ITK library).

   I hesitate to recommend this book because it is so dated (1992), but I refer to "Computer and Robot Vision" by Haralick and Shapiro quite often.

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