Picture processing and digital filtering:
Gespeichert in:
| Format: | Buch |
|---|---|
| Sprache: | English |
| Veröffentlicht: |
Berlin u.a.
Springer
1979
|
| Ausgabe: | 2., corr. and updated ed. |
| Schriftenreihe: | Topics in applied physics
6 |
| Schlagworte: | |
| Online-Zugang: | Inhaltsverzeichnis Inhaltsverzeichnis Inhaltsverzeichnis |
| Beschreibung: | XI, 297 S. |
| ISBN: | 3540093397 0387093397 |
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| 245 | 1 | 0 | |a Picture processing and digital filtering |c ed. by T. S. Huang. With contrib. by H. C. Andrews ... |
| 250 | |a 2., corr. and updated ed. | ||
| 264 | 1 | |a Berlin u.a. |b Springer |c 1979 | |
| 300 | |a XI, 297 S. | ||
| 336 | |b txt |2 rdacontent | ||
| 337 | |b n |2 rdamedia | ||
| 338 | |b nc |2 rdacarrier | ||
| 490 | 1 | |a Topics in applied physics |v 6 | |
| 650 | 7 | |a Beeldverwerking |2 gtt | |
| 650 | 7 | |a Digitale technieken |2 gtt | |
| 650 | 7 | |a Filters (elektronica) |2 gtt | |
| 650 | 4 | |a Filtres digitaux (Mathématiques) | |
| 650 | 4 | |a Traitement d'images | |
| 650 | 4 | |a Digital filters (Mathematics) | |
| 650 | 4 | |a Image processing | |
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| 700 | 1 | |a Huang, Thomas S. |e Sonstige |4 oth | |
| 700 | 1 | |a Andrews, Harry C. |e Sonstige |4 oth | |
| 830 | 0 | |a Topics in applied physics |v 6 |w (DE-604)BV008007504 |9 6 | |
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Datensatz im Suchindex
| _version_ | 1804116405222637569 |
|---|---|
| adam_text | Titel: Picture processing and digital filtering
Autor: Huang, Thomas S
Jahr: 1979
Contents
1. Introduction. By T.S. Huang (With 12 Figures)
1.1. What is Picture Processing? ..........................1
1.2. Outline of Book and General References.....I . . 2
1.3. Two-Dimensional Transforms ........................3
1.4. Two-Dimensional Digital Filters ......................7
1.5. Image Enhancement and Restoration.........12
1.6. Digital Image Processing Hardware..........18
1.7. Other Areas....................19
References ......................19
2. Two-Dimensional Transforms. By H.C. Andrews
(With 18 Figures)
2.1. Introduction ...................21
2.1.1. Motivation — Coding, Restoration, Feature
Extraction..................21
2.1.2. Linear Models ................23
2.2. Mathematical Representations ............26
2.2.1. Image Representations in Orthogonal Bases ... 26
2.2.2. Examples of Image Representations.......30
2:2.3. Separability and Stacking Operators.......36
2.3. Image Coding...................43
2.3.1. Spatial Image Coding.............43
2.3.2. Transform Image Coding............45
2.4. Object Restoration.................51
2.4.1. Separable Space Invariant Point Spread Functions 53
2.4.2. Separable Space Variant Point Spread Functions . 54
2.4.3. Nonseparable Space Invariant Point Spread
Functions ..................62
2.4.4. Nonseparable Space Variant Point Spread Functions 63
2.5. Conclusions....................66
References ......................67
3. Two-Dimensional Nonrecursive Filters. By J. G. Fiasconaro
(With 17 Figures)
3.1. Theory ......................70
3.1.1. Two-Dimensional Discrete Systems.......70
3.1.2. Approximation Theory ............73
3.1.3. Linear Programming .............83
3.2. Algorithms ....................88
3.2.1. Window Functions ..............88
3.2.2. Frequency Sampling .............93
3.2.3. Straightforward Application of Linear Programming 98
3.2.4. The New Algorithm..............102
3.2.5. Examples and Comparisons ..........112
3.3. Summary and Conclusions .............124
References ......................128
4. Two-Dimensional Recursive Filtering. By R.R, Read, J.L.Shanks
and S. Treitel (With 33 Figures)
4.1. Introduction ...................131
Definition of aRecursive Filter in Terms of the z-Transform 131
Causality ..........................132
Unit Pulse Response ................132
Absolute Stability .................133
Initial Conditions .................133
4.2. Stability .....................134
4.2.1. Theorem 1 (Shanks) and Proof.........134
Root Maps .................135
Example 1 (Unstable) .............135
Example 2 (Stable) ..............136
Stability Conditions for First-Order Filter . . . .137
Examples ..................138
4.2.2. Theorem 2 (Huang) and Proof.........138
Test Procedure................140
Huang s Method Using the Hurwitz Test ... 140
Anderson and Jury Method Using the Schur-
Cohn Matrix ...............140
4.3. Design .....................141
4.3.1. Extensions of One-Dimensional Techniques .... 141
Separable Filters ...............142
The Rotation of One-Dimensional Filters.....142
Technique ................142
Examples ................145
Shifting Two-Dimensional Low-Pass Filters .... 149
Technique ................151
Examples.................153
4.3.2. Synthesis in the Space Domain.........155
Method ...................155
Example...................158
4.3.3. Generalized Approximation and Stabilization . . .159
Approximation................159
Stabilization Procedures............159
Double Planar Least Squares Inverse.....159
The Two-Dimensional Discrete Hilbert
Transform ................163
4.4. Implementation ..................170
4.4.1. Phase Response of Two-Dimensional Recursive
Filters ...................171
Zero-Phase Cascade .............171
Zero-Phase Sum ...............171
4.4.2. State Variable Implementation .........172
Recursive Equations..............173
Comments on Implementation .........173
References ......................175
5. Image Enhancement and Restoration. By B.R. Frieden
(With 17 Figures)
5.1. Nomenclature and References, for Non-Optical Fields . 179
5.2. Preliminary Mathematics, Notation and Definitions . . 179
5.3. Intuitive Restoring Methods ............182
5.3.1. Matrix Inversion of the Discrete Imaging Equation 183
5.4. Phillips Smoothing Method ............184
5.4.1. Derivation.................185
5.4.2. Discussion.................185
5.4.3. Relative Merits for Image-Enhancement Use . . 186
5.5. Twomey s Generalized Approach ..........187
5.5.1. Relative Merits for Image-Enhancement Use . . 188
5.6. Subsequent Methods ...............188
5.7. Linear or Non-Linear Methods?...........188
5.8. Filtering Methods Defined .............189
5.9. Inverse Filtering .................191
5.9.1. An Optimum Processing Bandwidth......193
5.9.2. Use of Window Functions..........195
5.10. Other ad hoc Linear Methods ...........196
5.10.1. DC-Suppression ..............197
5.10.2 Suppression of Image-Motion by Convolving Mask 198
5.10.3. Pure Phase Compensation..........200
5.10.4. Van Cittert s Method of Successive Convolution . 201
5.10.5 Methods of Discrete Deconvolution ......203
5.11. Linear Methods Based on a Statistical Approach . . .206
5.11.1. A Sharpness-Constrained Wiener-Filter Approach 207
Discussion ................208
Information Aspect of Optimum Filtering .... 209
5.11.2. The Backus-Gilbert Optimization Approach . . 210
5.12. The Possibility of Bandwidth Extrapolation......212
5.13. The Central Role Played a priori Knowledge.....214
5.13.1. Knowledge of Limited Spatial Extent.....215
Harris Method...............215
Use of an Extrapolating Window Function . . 216
5.13.2. Knowledge of Positivity: Effects on Spurious
Oscillation and Resolution..........219
5.13.3. Knowledge of an Upper Bound........220
5.14. On Positive-Constrained Restoring Methods in General 221
5.15. Method of Schell and Biraud...........222
5.15.1. Discussion.................226
5.16. The Jansson-van Gittert Method...........227
5.17. Maximum Entropy Restorations: Two Philosophies,
Two Approaches .................229
5.18. Burg s Maximum Entropy Solution .........231
5.18.1. Discussion.................232
5.19. Frieden s Maximum Entropy Solution........234
5.19.1. Discussion.................236
5.19.2. Numerical Tests ..............238
5.20. A Monte Carlo Restoration Technique........240
5.21. Other Approaches ................243
5.22. Synopsis of Results ................243
5.23. Possible Directions for Future Research........246
References ......................246
6. Noise Considerations in Digital Image Processing Hardware.
By F.C. Billingsley (With 16 Figures)
6.1. Effects of Noise on Viewing Analysis..........249
6.1.1. Viewing for Esthetics .............249
6.1.2. Effects on Data Processing...........250
6.1.3. Some Correlative Considerations ........253
6.2. Effect of Noise on Quantization............253
6.2.1. Quantizing a Noisy Signal ...........254
Contents XI
6.2.2. Detectability of Two Areas of Different Brightness . 256
6.2.3. Derivation of a Performance Measure......258
6.2.4. System Noise.................259
6.2.5. Film Grain Noise...............260
6.3. System Bandwidth and Sampling Methods.......263
6.3.1. Detector Noise................264
6.3.2. Measurement Accuracy .............266
6.4. Practical Cases...................270
6.4.1. Case 1: Constant System Parameters.......270
6.4.2. Case 2: Variable System Parameters.......271
Variable Step Size to Get Constant ß......272
Variable Step Size to Get Constant SNR.....272
Constant ß with Uniform Step Size.......273
Constant SNR with Uniform Step Size......274
Modulation of Scanning Light .........277
6.5. Summary.....................279
References ......................280
7. Recent Advances in Picture Processing and Digital Filtering
By T. S. Huang . ...................283
7.1. General References.................283
7.2. Two-Dimensional Transforms ............283
7.3. Two-Dimensional Digital Filters ...........284
7.3.1. Nonrecursive Filters..............284
7.3.2. Recursive Filters ...............285
7.4. Image Restoration and Enhancement.........286
7.4.1. Image Restoration ..............286
7.4.2. Image Enhancement..............287
References ......................288
Subject Index.......................293
Titel: Picture processing and digital filtering
Autor: Huang, Thomas S
Jahr: 1979
Contents
1. Introduction. By T.S. Huang (With 12 Figures)
1.1. What is Picture Processing? ..........................1
1.2. Outline of Book and General References.....I . . 2
1.3. Two-Dimensional Transforms ........................3
1.4. Two-Dimensional Digital Filters ......................7
1.5. Image Enhancement and Restoration.........12
1.6. Digital Image Processing Hardware..........18
1.7. Other Areas....................19
References ......................19
2. Two-Dimensional Transforms. By H.C. Andrews
(With 18 Figures)
2.1. Introduction ...................21
2.1.1. Motivation — Coding, Restoration, Feature
Extraction..................21
2.1.2. Linear Models ................23
2.2. Mathematical Representations ............26
2.2.1. Image Representations in Orthogonal Bases ... 26
2.2.2. Examples of Image Representations.......30
2:2.3. Separability and Stacking Operators.......36
2.3. Image Coding...................43
2.3.1. Spatial Image Coding.............43
2.3.2. Transform Image Coding............45
2.4. Object Restoration.................51
2.4.1. Separable Space Invariant Point Spread Functions 53
2.4.2. Separable Space Variant Point Spread Functions . 54
2.4.3. Nonseparable Space Invariant Point Spread
Functions ..................62
2.4.4. Nonseparable Space Variant Point Spread Functions 63
2.5. Conclusions....................66
References ......................67
3. Two-Dimensional Nonrecursive Filters. By J. G. Fiasconaro
(With 17 Figures)
3.1. Theory ......................70
3.1.1. Two-Dimensional Discrete Systems.......70
3.1.2. Approximation Theory ............73
3.1.3. Linear Programming .............83
3.2. Algorithms ....................88
3.2.1. Window Functions ..............88
3.2.2. Frequency Sampling .............93
3.2.3. Straightforward Application of Linear Programming 98
3.2.4. The New Algorithm..............102
3.2.5. Examples and Comparisons ..........112
3.3. Summary and Conclusions .............124
References ......................128
4. Two-Dimensional Recursive Filtering. By R.R, Read, J.L.Shanks
and S. Treitel (With 33 Figures)
4.1. Introduction ...................131
Definition of aRecursive Filter in Terms of the z-Transform 131
Causality ..........................132
Unit Pulse Response ................132
Absolute Stability .................133
Initial Conditions .................133
4.2. Stability .....................134
4.2.1. Theorem 1 (Shanks) and Proof.........134
Root Maps .................135
Example 1 (Unstable) .............135
Example 2 (Stable) ..............136
Stability Conditions for First-Order Filter . . . .137
Examples ..................138
4.2.2. Theorem 2 (Huang) and Proof.........138
Test Procedure................140
Huang s Method Using the Hurwitz Test ... 140
Anderson and Jury Method Using the Schur-
Cohn Matrix ...............140
4.3. Design .....................141
4.3.1. Extensions of One-Dimensional Techniques .... 141
Separable Filters ...............142
The Rotation of One-Dimensional Filters.....142
Technique ................142
Examples ................145
Shifting Two-Dimensional Low-Pass Filters .... 149
Technique ................151
Examples.................153
4.3.2. Synthesis in the Space Domain.........155
Method ...................155
Example...................158
4.3.3. Generalized Approximation and Stabilization . . .159
Approximation................159
Stabilization Procedures............159
Double Planar Least Squares Inverse.....159
The Two-Dimensional Discrete Hilbert
Transform ................163
4.4. Implementation ..................170
4.4.1. Phase Response of Two-Dimensional Recursive
Filters ...................171
Zero-Phase Cascade .............171
Zero-Phase Sum ...............171
4.4.2. State Variable Implementation .........172
Recursive Equations..............173
Comments on Implementation .........173
References ......................175
5. Image Enhancement and Restoration. By B.R. Frieden
(With 17 Figures)
5.1. Nomenclature and References, for Non-Optical Fields . 179
5.2. Preliminary Mathematics, Notation and Definitions . . 179
5.3. Intuitive Restoring Methods ............182
5.3.1. Matrix Inversion of the Discrete Imaging Equation 183
5.4. Phillips Smoothing Method ............184
5.4.1. Derivation.................185
5.4.2. Discussion.................185
5.4.3. Relative Merits for Image-Enhancement Use . . 186
5.5. Twomey s Generalized Approach ..........187
5.5.1. Relative Merits for Image-Enhancement Use . . 188
5.6. Subsequent Methods ...............188
5.7. Linear or Non-Linear Methods?...........188
5.8. Filtering Methods Defined .............189
5.9. Inverse Filtering .................191
5.9.1. An Optimum Processing Bandwidth......193
5.9.2. Use of Window Functions..........195
5.10. Other ad hoc Linear Methods ...........196
5.10.1. DC-Suppression ..............197
5.10.2 Suppression of Image-Motion by Convolving Mask 198
5.10.3. Pure Phase Compensation..........200
5.10.4. Van Cittert s Method of Successive Convolution . 201
5.10.5 Methods of Discrete Deconvolution ......203
5.11. Linear Methods Based on a Statistical Approach . . .206
5.11.1. A Sharpness-Constrained Wiener-Filter Approach 207
Discussion ................208
Information Aspect of Optimum Filtering .... 209
5.11.2. The Backus-Gilbert Optimization Approach . . 210
5.12. The Possibility of Bandwidth Extrapolation......212
5.13. The Central Role Played a priori Knowledge.....214
5.13.1. Knowledge of Limited Spatial Extent.....215
Harris Method...............215
Use of an Extrapolating Window Function . . 216
5.13.2. Knowledge of Positivity: Effects on Spurious
Oscillation and Resolution..........219
5.13.3. Knowledge of an Upper Bound........220
5.14. On Positive-Constrained Restoring Methods in General 221
5.15. Method of Schell and Biraud...........222
5.15.1. Discussion.................226
5.16. The Jansson-van Gittert Method...........227
5.17. Maximum Entropy Restorations: Two Philosophies,
Two Approaches .................229
5.18. Burg s Maximum Entropy Solution .........231
5.18.1. Discussion.................232
5.19. Frieden s Maximum Entropy Solution........234
5.19.1. Discussion.................236
5.19.2. Numerical Tests ..............238
5.20. A Monte Carlo Restoration Technique........240
5.21. Other Approaches ................243
5.22. Synopsis of Results ................243
5.23. Possible Directions for Future Research........246
References ......................246
6. Noise Considerations in Digital Image Processing Hardware.
By F.C. Billingsley (With 16 Figures)
6.1. Effects of Noise on Viewing Analysis..........249
6.1.1. Viewing for Esthetics .............249
6.1.2. Effects on Data Processing...........250
6.1.3. Some Correlative Considerations ........253
6.2. Effect of Noise on Quantization............253
6.2.1. Quantizing a Noisy Signal ...........254
Contents XI
6.2.2. Detectability of Two Areas of Different Brightness . 256
6.2.3. Derivation of a Performance Measure......258
6.2.4. System Noise.................259
6.2.5. Film Grain Noise...............260
6.3. System Bandwidth and Sampling Methods.......263
6.3.1. Detector Noise................264
6.3.2. Measurement Accuracy .............266
6.4. Practical Cases...................270
6.4.1. Case 1: Constant System Parameters.......270
6.4.2. Case 2: Variable System Parameters.......271
Variable Step Size to Get Constant ß......272
Variable Step Size to Get Constant SNR.....272
Constant ß with Uniform Step Size.......273
Constant SNR with Uniform Step Size......274
Modulation of Scanning Light .........277
6.5. Summary.....................279
References ......................280
7. Recent Advances in Picture Processing and Digital Filtering
By T. S. Huang . ...................283
7.1. General References.................283
7.2. Two-Dimensional Transforms ............283
7.3. Two-Dimensional Digital Filters ...........284
7.3.1. Nonrecursive Filters..............284
7.3.2. Recursive Filters ...............285
7.4. Image Restoration and Enhancement.........286
7.4.1. Image Restoration ..............286
7.4.2. Image Enhancement..............287
References ......................288
Subject Index.......................293
Titel: Picture processing and digital filtering
Autor: Huang, Thomas S
Jahr: 1979
Contents
1. Introduction. By T.S. Huang (With 12 Figures)
1.1. What is Picture Processing? ..........................1
1.2. Outline of Book and General References.....I . . 2
1.3. Two-Dimensional Transforms ........................3
1.4. Two-Dimensional Digital Filters ......................7
1.5. Image Enhancement and Restoration.........12
1.6. Digital Image Processing Hardware..........18
1.7. Other Areas....................19
References ......................19
2. Two-Dimensional Transforms. By H.C. Andrews
(With 18 Figures)
2.1. Introduction ...................21
2.1.1. Motivation — Coding, Restoration, Feature
Extraction..................21
2.1.2. Linear Models ................23
2.2. Mathematical Representations ............26
2.2.1. Image Representations in Orthogonal Bases ... 26
2.2.2. Examples of Image Representations.......30
2:2.3. Separability and Stacking Operators.......36
2.3. Image Coding...................43
2.3.1. Spatial Image Coding.............43
2.3.2. Transform Image Coding............45
2.4. Object Restoration.................51
2.4.1. Separable Space Invariant Point Spread Functions 53
2.4.2. Separable Space Variant Point Spread Functions . 54
2.4.3. Nonseparable Space Invariant Point Spread
Functions ..................62
2.4.4. Nonseparable Space Variant Point Spread Functions 63
2.5. Conclusions....................66
References ......................67
3. Two-Dimensional Nonrecursive Filters. By J. G. Fiasconaro
(With 17 Figures)
3.1. Theory ......................70
3.1.1. Two-Dimensional Discrete Systems.......70
3.1.2. Approximation Theory ............73
3.1.3. Linear Programming .............83
3.2. Algorithms ....................88
3.2.1. Window Functions ..............88
3.2.2. Frequency Sampling .............93
3.2.3. Straightforward Application of Linear Programming 98
3.2.4. The New Algorithm..............102
3.2.5. Examples and Comparisons ..........112
3.3. Summary and Conclusions .............124
References ......................128
4. Two-Dimensional Recursive Filtering. By R.R, Read, J.L.Shanks
and S. Treitel (With 33 Figures)
4.1. Introduction ...................131
Definition of aRecursive Filter in Terms of the z-Transform 131
Causality ..........................132
Unit Pulse Response ................132
Absolute Stability .................133
Initial Conditions .................133
4.2. Stability .....................134
4.2.1. Theorem 1 (Shanks) and Proof.........134
Root Maps .................135
Example 1 (Unstable) .............135
Example 2 (Stable) ..............136
Stability Conditions for First-Order Filter . . . .137
Examples ..................138
4.2.2. Theorem 2 (Huang) and Proof.........138
Test Procedure................140
Huang s Method Using the Hurwitz Test ... 140
Anderson and Jury Method Using the Schur-
Cohn Matrix ...............140
4.3. Design .....................141
4.3.1. Extensions of One-Dimensional Techniques .... 141
Separable Filters ...............142
The Rotation of One-Dimensional Filters.....142
Technique ................142
Examples ................145
Shifting Two-Dimensional Low-Pass Filters .... 149
Technique ................151
Examples.................153
4.3.2. Synthesis in the Space Domain.........155
Method ...................155
Example...................158
4.3.3. Generalized Approximation and Stabilization . . .159
Approximation................159
Stabilization Procedures............159
Double Planar Least Squares Inverse.....159
The Two-Dimensional Discrete Hilbert
Transform ................163
4.4. Implementation ..................170
4.4.1. Phase Response of Two-Dimensional Recursive
Filters ...................171
Zero-Phase Cascade .............171
Zero-Phase Sum ...............171
4.4.2. State Variable Implementation .........172
Recursive Equations..............173
Comments on Implementation .........173
References ......................175
5. Image Enhancement and Restoration. By B.R. Frieden
(With 17 Figures)
5.1. Nomenclature and References, for Non-Optical Fields . 179
5.2. Preliminary Mathematics, Notation and Definitions . . 179
5.3. Intuitive Restoring Methods ............182
5.3.1. Matrix Inversion of the Discrete Imaging Equation 183
5.4. Phillips Smoothing Method ............184
5.4.1. Derivation.................185
5.4.2. Discussion.................185
5.4.3. Relative Merits for Image-Enhancement Use . . 186
5.5. Twomey s Generalized Approach ..........187
5.5.1. Relative Merits for Image-Enhancement Use . . 188
5.6. Subsequent Methods ...............188
5.7. Linear or Non-Linear Methods?...........188
5.8. Filtering Methods Defined .............189
5.9. Inverse Filtering .................191
5.9.1. An Optimum Processing Bandwidth......193
5.9.2. Use of Window Functions..........195
5.10. Other ad hoc Linear Methods ...........196
5.10.1. DC-Suppression ..............197
5.10.2 Suppression of Image-Motion by Convolving Mask 198
5.10.3. Pure Phase Compensation..........200
5.10.4. Van Cittert s Method of Successive Convolution . 201
5.10.5 Methods of Discrete Deconvolution ......203
5.11. Linear Methods Based on a Statistical Approach . . .206
5.11.1. A Sharpness-Constrained Wiener-Filter Approach 207
Discussion ................208
Information Aspect of Optimum Filtering .... 209
5.11.2. The Backus-Gilbert Optimization Approach . . 210
5.12. The Possibility of Bandwidth Extrapolation......212
5.13. The Central Role Played a priori Knowledge.....214
5.13.1. Knowledge of Limited Spatial Extent.....215
Harris Method...............215
Use of an Extrapolating Window Function . . 216
5.13.2. Knowledge of Positivity: Effects on Spurious
Oscillation and Resolution..........219
5.13.3. Knowledge of an Upper Bound........220
5.14. On Positive-Constrained Restoring Methods in General 221
5.15. Method of Schell and Biraud...........222
5.15.1. Discussion.................226
5.16. The Jansson-van Gittert Method...........227
5.17. Maximum Entropy Restorations: Two Philosophies,
Two Approaches .................229
5.18. Burg s Maximum Entropy Solution .........231
5.18.1. Discussion.................232
5.19. Frieden s Maximum Entropy Solution........234
5.19.1. Discussion.................236
5.19.2. Numerical Tests ..............238
5.20. A Monte Carlo Restoration Technique........240
5.21. Other Approaches ................243
5.22. Synopsis of Results ................243
5.23. Possible Directions for Future Research........246
References ......................246
6. Noise Considerations in Digital Image Processing Hardware.
By F.C. Billingsley (With 16 Figures)
6.1. Effects of Noise on Viewing Analysis..........249
6.1.1. Viewing for Esthetics .............249
6.1.2. Effects on Data Processing...........250
6.1.3. Some Correlative Considerations ........253
6.2. Effect of Noise on Quantization............253
6.2.1. Quantizing a Noisy Signal ...........254
Contents XI
6.2.2. Detectability of Two Areas of Different Brightness . 256
6.2.3. Derivation of a Performance Measure......258
6.2.4. System Noise.................259
6.2.5. Film Grain Noise...............260
6.3. System Bandwidth and Sampling Methods.......263
6.3.1. Detector Noise................264
6.3.2. Measurement Accuracy .............266
6.4. Practical Cases...................270
6.4.1. Case 1: Constant System Parameters.......270
6.4.2. Case 2: Variable System Parameters.......271
Variable Step Size to Get Constant ß......272
Variable Step Size to Get Constant SNR.....272
Constant ß with Uniform Step Size.......273
Constant SNR with Uniform Step Size......274
Modulation of Scanning Light .........277
6.5. Summary.....................279
References ......................280
7. Recent Advances in Picture Processing and Digital Filtering
By T. S. Huang . ...................283
7.1. General References.................283
7.2. Two-Dimensional Transforms ............283
7.3. Two-Dimensional Digital Filters ...........284
7.3.1. Nonrecursive Filters..............284
7.3.2. Recursive Filters ...............285
7.4. Image Restoration and Enhancement.........286
7.4.1. Image Restoration ..............286
7.4.2. Image Enhancement..............287
References ......................288
Subject Index.......................293
|
| any_adam_object | 1 |
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| bvnumber | BV001962304 |
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| dewey-search | 621.38/0414 |
| dewey-sort | 3621.38 3414 |
| dewey-tens | 620 - Engineering and allied operations |
| discipline | Physik Informatik Elektrotechnik / Elektronik / Nachrichtentechnik |
| edition | 2., corr. and updated ed. |
| format | Book |
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| id | DE-604.BV001962304 |
| illustrated | Not Illustrated |
| indexdate | 2024-07-09T15:37:59Z |
| institution | BVB |
| isbn | 3540093397 0387093397 |
| language | English |
| oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-001279659 |
| oclc_num | 4776431 |
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| physical | XI, 297 S. |
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| publishDate | 1979 |
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| publishDateSort | 1979 |
| publisher | Springer |
| record_format | marc |
| series | Topics in applied physics |
| series2 | Topics in applied physics |
| spelling | Picture processing and digital filtering ed. by T. S. Huang. With contrib. by H. C. Andrews ... 2., corr. and updated ed. Berlin u.a. Springer 1979 XI, 297 S. txt rdacontent n rdamedia nc rdacarrier Topics in applied physics 6 Beeldverwerking gtt Digitale technieken gtt Filters (elektronica) gtt Filtres digitaux (Mathématiques) Traitement d'images Digital filters (Mathematics) Image processing Mustererkennung (DE-588)4040936-3 gnd rswk-swf Digitalfilter (DE-588)4070477-4 gnd rswk-swf Bildverarbeitung (DE-588)4006684-8 gnd rswk-swf Digitalfilter (DE-588)4070477-4 s Bildverarbeitung (DE-588)4006684-8 s DE-604 Mustererkennung (DE-588)4040936-3 s 1\p DE-604 Huang, Thomas S. Sonstige oth Andrews, Harry C. Sonstige oth Topics in applied physics 6 (DE-604)BV008007504 6 HBZ Datenaustausch application/pdf http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=001279659&sequence=000002&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA Inhaltsverzeichnis HBZ Datenaustausch application/pdf http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=001279659&sequence=000004&line_number=0002&func_code=DB_RECORDS&service_type=MEDIA Inhaltsverzeichnis HBZ Datenaustausch application/pdf http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=001279659&sequence=000006&line_number=0003&func_code=DB_RECORDS&service_type=MEDIA Inhaltsverzeichnis 1\p cgwrk 20201028 DE-101 https://d-nb.info/provenance/plan#cgwrk |
| spellingShingle | Picture processing and digital filtering Topics in applied physics Beeldverwerking gtt Digitale technieken gtt Filters (elektronica) gtt Filtres digitaux (Mathématiques) Traitement d'images Digital filters (Mathematics) Image processing Mustererkennung (DE-588)4040936-3 gnd Digitalfilter (DE-588)4070477-4 gnd Bildverarbeitung (DE-588)4006684-8 gnd |
| subject_GND | (DE-588)4040936-3 (DE-588)4070477-4 (DE-588)4006684-8 |
| title | Picture processing and digital filtering |
| title_auth | Picture processing and digital filtering |
| title_exact_search | Picture processing and digital filtering |
| title_full | Picture processing and digital filtering ed. by T. S. Huang. With contrib. by H. C. Andrews ... |
| title_fullStr | Picture processing and digital filtering ed. by T. S. Huang. With contrib. by H. C. Andrews ... |
| title_full_unstemmed | Picture processing and digital filtering ed. by T. S. Huang. With contrib. by H. C. Andrews ... |
| title_short | Picture processing and digital filtering |
| title_sort | picture processing and digital filtering |
| topic | Beeldverwerking gtt Digitale technieken gtt Filters (elektronica) gtt Filtres digitaux (Mathématiques) Traitement d'images Digital filters (Mathematics) Image processing Mustererkennung (DE-588)4040936-3 gnd Digitalfilter (DE-588)4070477-4 gnd Bildverarbeitung (DE-588)4006684-8 gnd |
| topic_facet | Beeldverwerking Digitale technieken Filters (elektronica) Filtres digitaux (Mathématiques) Traitement d'images Digital filters (Mathematics) Image processing Mustererkennung Digitalfilter Bildverarbeitung |
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| volume_link | (DE-604)BV008007504 |
| work_keys_str_mv | AT huangthomass pictureprocessinganddigitalfiltering AT andrewsharryc pictureprocessinganddigitalfiltering |
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