Color Image Processing and Applications

Front Cover
Springer Science & Business Media, May 26, 2000 - Computers - 355 pages
Reporting the state of the art of color image processing, this monograph fills an existing gap in the literature on digital signal and image processing. It can serve the needs of different users at different levels: as a textbook which covers a graduate image processing course, as a up-to-date reference for researchers since it offers a broad survey of the relevant literature, and as a relevant information source for development engineers who work in the design and the implementation of various image processing tasks. Part of the material in the book was the basis of seminars at the University of Toronto. The book contains numerous examples and pictures of color image processing results, as well as tables which summarize the results of the analysis. Algorithms implemented in JAVA can be downloaded from the author's website .
 

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Contents

1 Color Spaces
1
12 The CIE Chromaticitybased Models
4
13 The CIERGB Color Model
9
14 Gamma Correction
13
15 Linear and Nonlinear RGB Color Spaces
16
152 Nonlinear RGB Color Space
17
16 Color Spaces Linearly Related to the RGB
20
17 The YIQ Color Space
23
451 Probabilistic Evaluation
198
452 Noise Performance
200
453 Subjective Evaluation
201
46 Conclusion
203
5 Color Image Enhancement and Restoration
209
52 Histogram Equalization
210
53 Color Image Restoration
214
54 Restoration Algorithms
217

18 The HSI Family of Color Models
25
19 Perceptually Uniform Color Spaces
32
191 The CIE Luv Color Space
33
192 The CIE Lab Color Space
35
193 Cylindrical Luv and Lab Color Space
37
110 The Munsell Color Space
39
111 The Opponent Color Space
41
112 New Trends
42
113 Color Images
45
2 Color Image Filtering
51
22 Color Noise
52
23 Modeling Sensor Noise
53
24 Modeling Transmission Noise
55
25 Multivariate Data Ordering Schemes
58
251 Marginal Ordering
59
252 Conditional Ordering
62
254 Reduced Ordering
63
26 A Practical Example
67
27 Vector Ordering
69
28 The Distance Measures
70
29 The Similarity Measures
72
210 Filters Based on Marginal Ordering
77
211 Filters Based on Reduced Ordering
81
212 Filters Based on Vector Ordering
89
213 Directionalbased Filters
92
214 Computational Complexity
98
215 Conclusion
100
3 Adaptive Image Filters
107
32 The Adaptive Fuzzy System
109
321 Determining the Parameters
112
322 The Membership Function
113
323 The Generalized Membership Function
115
324 Members of the Adaptive Fuzzy Filter Family
116
325 A Combined Fuzzy Directional and Fuzzy Median Filter
122
326 Comments
125
327 Application to 1D Signals
128
33 The Bayesian Parametric Approach
131
34 The Nonparametric Approach
137
35 Adaptive Morphological Filters
146
352 Computation of the NOP and the NCP
152
353 Computational Complexity and Fast Algorithms
154
36 Simulation Studies
157
37 Conclusions
173
4 Color Edge Detection
179
42 Overview Of Color Edge Detection Methodology
181
422 Vector Space Approaches
183
43 Vector Order Statistic Edge Operators
189
44 Difference Vector Operators
194
45 Evaluation Procedures and Results
197
55 Algorithm Formulation
220
552 Direct Algorithms
223
553 Robust Algorithms
227
56 Conclusions
229
6 Color Image Segmentation
237
62 Pixelbased Techniques
239
622 Clustering
242
63 Regionbased Techniques
247
631 Region Growing
248
632 Split and Merge
250
64 Edgebased Techniques
252
65 Modelbased Techniques
253
651 The Maximum Aposteriori Method
254
652 The Adaptive MAP Method
255
66 Physicsbased Techniques
256
67 Hybrid Techniques
257
68 Application
260
682 Seed Determination
262
683 Region Growing
267
684 Region Merging
269
685 Results
271
69 Conclusion
273
7 Color Image Compression
279
72 Image Compression Comparison Terminology
282
73 Image Representation for Compression Applications
285
74 Lossless Waveformbased Image Compression Techniques
286
742 Lossless Compression Using Spatial Redundancy
288
75 Lossy Waveformbased Image Compression Techniques
290
752 Transform Domain Methodologies
292
76 Second Generation Image Compression Techniques
304
77 Perceptually Motivated Compression Techniques
307
772 Perceptually Motivated DCT Image Coding
311
773 Perceptually Motivated Waveletbased Coding
313
774 Perceptually Motivated Regionbased Coding
317
78 Color Video Compression
319
79 Conclusion
324
8 Emerging Applications
329
81 Input Analysis Using Color Information
331
82 Shape and Color Analysis
337
821 Fuzzy Membership Functions
338
822 Aggregation Operators
340
83 Experimental Results
343
84 Conclusions
345
A Companion Image Processing Software
347
A1 Image Filtering
348
A3 Image Transforms
349
Index
351
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