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Field Guide to Image Processing
商品コード: 9780819490216

Field Guide to Image Processing

販売価格(税込) 4,830 円
ポイント: 48 Pt
個  数

カゴに入れる

Khan M. Iftekharuddin; Abdul Awwal
96 pages; Spiral Bound
2012/3/21
FG25

詳細

Digital imaging is essential to many industries, such as remote sensing, entertainment, defense, and biotechnology, and many processing techniques have been developed over time. This Field Guide serves as a resource for commonly used image-processing concepts and tools; with this foundation, readers will better understand how to apply these tools to various problems encountered in the field. Topics include filtering, time-frequency-domain processing, and image compression, morphology, and restoration.

Sample Pages(PDF)

Glossary of Symbols and Acronyms
Introduction
 Introduction
 Random Signals
 General Image-Processing System
 Simple Image Model
 Sampling and Quantization
Spatial Domain
 Image Transforms and Spatial-Domain Filtering
 Image Scaling and Rotation
 Point Processing
 Spatial-Domain Convolution Filters
 Convolution
 Linear Filters
 Gradient Filters
 Histogram Processing
Frequency-Domain Filtering
 Fourier Transform
 Discrete Fourier Transform
 Properties of the Fourier Transform
 Convolution and Correlation in the Fourier Domain
 More Properties of the Fourier Transform
 Spectral Density
 Properties of the Discrete Fourier Transform
 Correlation and Convolution
 Circular Convolution and Zero Padding
 Matched Filtering
 Filtering with the Fourier Transform
 Low-Pass and High-Pass Filtering
 Sampling
 Spectrum of a Sampled Signal
 More Sampling
 Spectrum of a Finite Periodic Signal
Image Restoration
 Image Restoration
 Linear Space-Invariant Degradation
 Discrete Formulation
 Algebraic Restoration
 Motion Blur
 Inverse Filtering
 Weiner Least-Squares Filtering
Segmentation and Clustering
 Image Segmentation and Clustering
 Hough Transform
 Clustering
Image Morphology
 Image Morphology
 Opening and Closing
 Hit-and-Miss Transform
 Thinning
 Skeletonization
 Gray-Level Morphology
 Training a Structuring Element
Time-Frequency-Domain Processing
 Wavelet Transform
 Types of Fourier Transform
 Basis Wavelet
 Continuous Wavelet Transforms
 Wavelet Series Expansion
 Discrete Wavelet Transform
 Subband Coding
 Mirror Filter and Scaling Vector
 Wavelet Vector and 1D DWT Computation
 2D Discrete Wavelet Transform
Image Compression
 Data Redundancy
 Error-Free Compression
 Spatial Redundancy
 Differential Encoding Example
 Block Truncation Coding: Lossy Compression
 Discrete Cosine Transform
 JPEG Compression
Equation Summary
Bibliography
Index

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