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Image Processing: "Digital Image Processing", Gonzalez and Woods. Comprehensive coverage of principles, well written, practical w/ useful examples yet well grou

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).

copperx 8y ago
By chance, do you know a good book for audio signal processing?
- poulenc1963 8y ago
  DAFX by Zölzer covers all the fundamental audio DSP building blocks. The book is eponymous with the annual international audio DSP conference.
- halirutan 8y ago
  For signals (as opposed to images), you should have a look at "Understanding Digital Signal Processing" by Richard G. Lyons (ISBN-13: 978-0131089891). I enjoyed this very much and if you grasped the contents from it, you should be able to understand audio-specific books easily.
  - randcraw 8y ago
    I second Lyons. In addition, "Digital Signal Processing: A Practical Guide" by Steven Smith is also quite approachable -- immersion in calculus not required. "A Digital Signal Processing Primer" by Ken Steiglitz is a nice but rigorous intro to the subject. Written by an EE academic, it's more mathematically rigorous than Smith or Lyons. Allen Downey's "Think DSP" is also worth a look, though its focus is more conceptual than practical, IMO.
halirutan 8y ago
I can only second this. Gonzalez & Woods presents a very good overview of the material in a highly practical and understandable way. Each section contains tons of references into the more specific literature that you can follow as soon as you reached the books limits. Finally, it is a pleasure to read if you are interested in image processing and it keeps you hooked.
kleopullin 8y ago
Yes, I should have included this in my post, it's another perfect example of bringing the theoretical to the real world view.
joshvm 8y ago
If you want a smaller and cheaper book on computer vision, I recommend Concise Computer Vision (Klette, Springer). It's remarkably complete for its size. The level of detail is just enough that you can refresh or understand a topic, without drowning you in equations. The referencing could be better, but the main papers are called out.

copperx 8y ago

By chance, do you know a good book for audio signal processing?

poulenc1963 8y ago
DAFX by Zölzer covers all the fundamental audio DSP building blocks. The book is eponymous with the annual international audio DSP conference.
halirutan 8y ago
For signals (as opposed to images), you should have a look at "Understanding Digital Signal Processing" by Richard G. Lyons (ISBN-13: 978-0131089891). I enjoyed this very much and if you grasped the contents from it, you should be able to understand audio-specific books easily.
- randcraw 8y ago
  I second Lyons. In addition, "Digital Signal Processing: A Practical Guide" by Steven Smith is also quite approachable -- immersion in calculus not required. "A Digital Signal Processing Primer" by Ken Steiglitz is a nice but rigorous intro to the subject. Written by an EE academic, it's more mathematically rigorous than Smith or Lyons. Allen Downey's "Think DSP" is also worth a look, though its focus is more conceptual than practical, IMO.

halirutan 8y ago

I can only second this. Gonzalez & Woods presents a very good overview of the material in a highly practical and understandable way. Each section contains tons of references into the more specific literature that you can follow as soon as you reached the books limits. Finally, it is a pleasure to read if you are interested in image processing and it keeps you hooked.

kleopullin 8y ago

Yes, I should have included this in my post, it's another perfect example of bringing the theoretical to the real world view.

joshvm 8y ago

If you want a smaller and cheaper book on computer vision, I recommend Concise Computer Vision (Klette, Springer). It's remarkably complete for its size. The level of detail is just enough that you can refresh or understand a topic, without drowning you in equations. The referencing could be better, but the main papers are called out.