Home » Introduction to Digital Image Processing
Product Image

Introduction to Digital Image Processing

William K. Pratt
€132.99
Quantity:
In stock with our UK publisher. 14-28 days
Delivery/Collection within 10-20 working days
14 days return policy Shipping & Delivery
?x ?y
A01=William K. Pratt
AC Coefficient
advanced image compression methods
Author_William K. Pratt
Category=UYT
Color Coordinate System
Continous Image Characterization
DC Coefficient
Destination Image
Digital Image Characterization
Discrete Two-Dimensional Linear Processing
eq_bestseller
eq_computing
eq_isMigrated=1
eq_isMigrated=2
eq_nobargain
eq_non-fiction
Fourier filtering methods
Haar Transform
Huffman Code
Image Analysis
Image Coding System
Image Improvement
Image Restoration
image segmentation techniques
Impulse Response
Impulse Response Function
JPEG Baseline
JPEG Lossless
Karhunen Loeve Transform
morphological operations
object detection algorithms
photometric analysis
Quantized Coefficients
RGB
RGB Color
RGB Color Image
RGB Color Space
RGB Image
spatial domain processing
Spectral Energy Distribution
Tristimulus Values
Wavelet Transform
Wavelet Transforms
Ωx Ωy

Product details

  • ISBN 9781482216691
  • Weight: 1168g
  • Dimensions: 156 x 234mm
  • Publication Date: 13 Sep 2013
  • Publisher: Taylor & Francis Inc
  • Publication City/Country: US
  • Product Form: Hardback
Secure checkout Fast Shipping Easy returns
Description

The subject of digital image processing has migrated from a graduate to a junior or senior level course as students become more proficient in mathematical background earlier in their college education. With that in mind, Introduction to Digital Image Processing is simpler in terms of mathematical derivations and eliminates derivations of advanced subjects. Most importantly, the textbook contains an extensive set of programming exercises for students.

The textbook examines the basic technologies needed to support image processing applications, including the characterization of continuous images, image sampling and quantization techniques, and two-dimensional signal processing techniques. It then covers the two principle areas of image processing: image enhancement and restoration techniques and extraction of information from an image. It concludes with discussions of image and video compression.

  • Covers the mathematical representation of continuous images and discrete images
  • Discusses the psychophysical properties of human vision
  • Analyzes and compares linear processing techniques implemented by direct convolution and Fourier domain filtering
  • Details restoration models, point and spatial restoration and geometrical image modification
  • Includes morphological image processing, edge detection, image feature extraction, image segmentation, object shape analysis, and object detection
  • Describes coding technique applicable to still image and video coding based upon point and spatial processing
  • Outlines the widely adopted JPEG and MPEG still image and video coding standards

The author’s accessible style provides historical background on the development of image processing techniques as well as a theoretical exposition. The inclusion of numerous exercises fully prepares students for further study.

More from this author