Digital Image Processing: PIKS Inside
A thoroughly updated edition of a bestselling guide to digital image processing, this book covers cutting-edge techniques for enhancing and interpreting digital images from different sources--scanners, radar systems, and digital cameras. A PIKS image processing library of executable files as well as digital versions of many of the pictures are provided via ftp to help apply the techniques discussed in the book.
Why Read This Book
You should read this book if you want a hands-on, application-oriented introduction to digital image processing that ties classic DSP methods (filters, FFTs, restoration) to real examples and an executable PIKS library. It’s especially useful when you want working demonstrations and practical recipes rather than only heavy theory.
Who Will Benefit
Engineers or practitioners with some signal-processing/math background who need to implement or prototype image enhancement, filtering, restoration, or basic segmentation for camera, scanner, or radar imagery.
Level: Intermediate — Prerequisites: Basic calculus and linear algebra, familiarity with signals and systems (1-D DSP concepts), and some programming experience (C or similar) to run/adapt example code or executables.
Key Takeaways
- Apply spatial-domain and frequency-domain filtering techniques to enhance and denoise images.
- Implement histogram processing, contrast enhancement, and point operations for image adjustment.
- Use 2-D Fourier methods and FFTs for spectral analysis and image restoration.
- Perform basic image segmentation and edge detection using classical operators.
- Apply morphological operations for shape-based processing and noise removal.
- Run and adapt practical example code via the PIKS library to prototype algorithms quickly.
Topics Covered
- Introduction and history of digital image processing
- Image representation, sampling, and quantization
- Intensity transformations and histogram processing
- Spatial filtering and smoothing
- Edge detection and gradient-based operators
- Frequency-domain methods and 2-D Fourier transforms
- Image restoration and noise reduction
- Morphological image processing
- Segmentation and region-based methods
- Color image processing
- Image compression basics
- Applications and examples (scanners, cameras, radar)
- The PIKS image-processing library and practical examples
Languages, Platforms & Tools
How It Compares
More application- and example-focused than Gonzalez & Woods' Digital Image Processing; Pratt emphasizes runnable PIKS tools and worked examples, whereas Gonzalez & Woods is more widely used as a comprehensive academic textbook.
