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[null,"1.","Record Nr.",null,"UNICAMPANIASUN0063678"]
[null,null,"Autore",null,"Salamon, Ferdinando"]
[null,null,"Titolo",null,"Il conoscitore di stampe / Ferdinando Salamon"]
[null,null,"Pubbl/distr/stampa",null,"Torino : Allemandi, 1992"]
[null,null,"Edizione",null,"[3. rist. della 3. ed]"]
[null,null,"Descrizione fisica",null,"253 p. : ill. ; 24 cm."]
[null,null,"Lingua di pubblicazione",null,"Italiano"]
[null,null,"Formato",null,"Materiale a stampa"]
[null,null,null,"Livello bibliografico","Monografia"]
[null,"2.","Record Nr.",null,"UNISA990001389610203316"]
[null,null,"Autore",null,"BORGHESE, Lucia"]
[null,null,"Titolo",null,"Invito alla lettura di Heinrich Boll / Lucia Borghese"]
[null,null,"Pubbl/distr/stampa",null,"Milano : Mursia, 1980"]
[null,null,"Descrizione fisica",null,"220 p. ; 17 cm"]
[null,null,"Collana",null,"Invito alla lettura / sezione straniera ; 32/33"]
[null,null,"Disciplina",null,"833.9"]
[null,null,"Collocazione",null,"VII.2.B. 518(V E Coll. 7 bis/ 32-33)"]
[null,null,"Lingua di pubblicazione",null,"Italiano"]
[null,null,"Formato",null,"Materiale a stampa"]
[null,null,null,"Livello bibliografico","Monografia"]
[null,"3.","Record Nr.",null,"UNINA9910139599503321"]
[null,null,"Autore",null,"Marques Oge"]
[null,null,"Titolo",null,"Practical image and video processing using MATLAB / / Oge Marques"]
[null,null,"Pubbl/distr/stampa",null,"Hoboken, New Jersey : , : Wiley-IEEE Press, , 2011"]
[{"$nulls":4},"[Piscataqay, New Jersey] : , : IEEE Xplore, , [2011]"]
[null,null,"ISBN",null,"1-118-09347-X"]
[{"$nulls":4},"6613239917"]
[{"$nulls":4},"1-283-23991-4"]
[{"$nulls":4},"9786613239914"]
[{"$nulls":4},"1-118-09348-8"]
[null,null,"Edizione",null,"[1st edition]"]
[null,null,"Descrizione fisica",null,"1 online resource (691 p.)"]
[null,null,"Classificazione",null,"TEC015000"]
[{"$nulls":4},"ST 601"]
[null,null,"Disciplina",null,"502.85/66"]
[null,null,"Soggetti",null,"Image processing - Mathematics"]
[{"$nulls":4},"Image processing - Digital techniques"]
[null,null,"Lingua di pubblicazione",null,"Inglese"]
[null,null,"Formato",null,"Materiale a stampa"]
[null,null,null,"Livello bibliografico","Monografia"]
[null,null,null,"Note generali","Description based upon print version of record."]
[null,null,null,"Nota di bibliografia","Includes bibliographical references and index."]
[null,null,"Nota di contenuto",null,"LIST OF FIGURES xxi -- LIST OF TABLES xxxix -- FOREWORD xli -- PREFACE xliii -- ACKNOWLEDGMENTS xlix -- PART I IMAGE PROCESSING -- 1 INTRODUCTION AND OVERVIEW 3 -- 1.1 Motivation / 3 -- 1.2 Basic Concepts and Terminology / 5 -- 1.3 Examples of Typical Image Processing Operations / 6 -- 1.4 Components of a Digital Image Processing System / 10 -- 1.5 Machine Vision Systems / 12 -- 1.6 Resources / 14 -- 1.7 Problems / 18 -- 2 IMAGE PROCESSING BASICS 21 -- 2.1 Digital Image Representation / 21 -- 2.1.1 Binary (1-Bit) Images / 23 -- 2.1.2 Gray-Level (8-Bit) Images / 24 -- 2.1.3 Color Images / 25 -- 2.1.4 Compression / 26 -- 2.2 Image File Formats / 27 -- 2.3 Basic Terminology / 28 -- 2.4 Overview of Image Processing Operations / 30 -- 2.4.1 Global (Point) Operations / 31 -- 2.4.2 Neighborhood-Oriented Operations / 31 -- 2.4.3 Operations Combining Multiple Images / 32 -- 2.4.4 Operations in a Transform Domain / 32 -- 3 MATLAB BASICS 35 -- 3.1 Introduction to MATLAB / 35 -- 3.2 Basic Elements of MATLAB / 36 -- 3.2.1 Working Environment / 36 -- 3.2.2 Data Types / 37 -- 3.2.3 Array and Matrix Indexing in MATLAB / 37 -- 3.2.4 Standard Arrays / 37 -- 3.2.5 Command-Line Operations / 38 -- 3.3 Programming Tools: Scripts and "]
[{"$nulls":4},"Functions / 38 -- 3.3.1 M-Files / 39 -- 3.3.2 Operators / 40 -- 3.3.3 Important Variables and Constants / 42 -- 3.3.4 Number Representation / 42 -- 3.3.5 Flow Control / 43 -- 3.3.6 Code Optimization / 43 -- 3.3.7 Input and Output / 43 -- 3.4 Graphics and Visualization / 43 -- 3.5 Tutorial 3.1: MATLAB-a Guided Tour / 44 -- 3.6 Tutorial 3.2: MATLAB Data Structures / 46 -- 3.7 Tutorial 3.3: Programming in MATLAB / 53 -- 3.8 Problems / 59 -- 4 THE IMAGE PROCESSING TOOLBOX AT A GLANCE 61 -- 4.1 The Image Processing Toolbox: an Overview / 61 -- 4.2 Essential Functions and Features / 62 -- 4.2.1 Displaying Information About an Image File / 62 -- 4.2.2 Reading an Image File / 64 -- 4.2.3 Data Classes and Data Conversions / 65 -- 4.2.4 Displaying the Contents of an Image / 68."]
[{"$nulls":4},"4.2.5 Exploring the Contents of an Image / 69 -- 4.2.6 Writing the Resulting Image onto a File / 70 -- 4.3 Tutorial 4.1: MATLAB Image Processing Toolbox-a Guided Tour / 72 -- 4.4 Tutorial 4.2: Basic Image Manipulation / 74 -- 4.5 Problems / 80 -- 5 IMAGE SENSING AND ACQUISITION 83 -- 5.1 Introduction / 83 -- 5.2 Light, Color, and Electromagnetic Spectrum / 84 -- 5.2.1 Light and Electromagnetic Spectrum / 84 -- 5.2.2 Types of Images / 85 -- 5.2.3 Light and Color Perception / 86 -- 5.2.4 Color Encoding and Representation / 87 -- 5.3 Image Acquisition / 89 -- 5.3.1 Image Sensors / 89 -- 5.3.2 Camera Optics / 92 -- 5.4 Image Digitization / 93 -- 5.4.1 Sampling / 95 -- 5.4.2 Quantization / 96 -- 5.4.3 Spatial and Gray-Level Resolution / 97 -- 5.5 Problems / 101 -- 6 ARITHMETIC AND LOGIC OPERATIONS 103 -- 6.1 Arithmetic Operations: Fundamentals and Applications / 103 -- 6.1.1 Addition / 104 -- 6.1.2 Subtraction / 106 -- 6.1.3 Multiplication and Division / 109 -- 6.1.4 Combining Several Arithmetic Operations / 110 -- 6.2 Logic Operations: Fundamentals and Applications / 111 -- 6.3 Tutorial 6.1: Arithmetic Operations / 113 -- 6.4 Tutorial 6.2: Logic Operations and Region of Interest Processing / 118 -- 6.5 Problems / 122 -- 7 GEOMETRIC OPERATIONS 125 -- 7.1 Introduction / 125 -- 7.2 Mapping and Affine Transformations / 127 -- 7.3 Interpolation Methods / 130 -- 7.3.1 The Need for Interpolation / 130 -- 7.3.2 A Simple Approach to Interpolation / 131 -- 7.3.3 Zero-Order (Nearest-Neighbor) Interpolation / 132 -- 7.3.4 First-Order (Bilinear) Interpolation / 132 -- 7.3.5 Higher Order Interpolations / 132 -- 7.4 Geometric Operations Using MATLAB / 132 -- 7.4.1 Zooming, Shrinking, and Resizing / 133 -- 7.4.2 Translation / 134 -- 7.4.3 Rotation / 134 -- 7.4.4 Cropping / 134 -- 7.4.5 Flipping / 134 -- 7.5 Other Geometric Operations and Applications / 134 -- 7.5.1 Warping / 134 -- 7.5.2 Nonlinear Image Transformations / 135 -- 7.5.3 Morphing / 137 -- 7.5.4 Seam Carving / 137 -- 7.5.5 Image Registration / 137."]
[{"$nulls":4},"7.6 Tutorial 7.1: Image Cropping, Resizing, Flipping, and Rotation / 138 -- 7.7 Tutorial 7.2: Spatial Transformations and Image Registration / 142 -- 7.8 Problems / 149 -- 8 GRAY-LEVEL TRANSFORMATIONS 151 -- 8.1 Introduction / 151 -- 8.2 Overview of Gray-level (Point) Transformations / 152 -- 8.3 Examples of Point Transformations / 155 -- 8.3.1 Contrast Manipulation / 155 -- 8.3.2 Negative / 157 -- 8.3.3 Power Law (Gamma) Transformations / 157 -- 8.3.4 Log Transformations / 159 -- 8.3.5 Piecewise Linear Transformations / 160 -- 8.4 Specifying the Transformation Function / 161 -- 8.5 Tutorial 8.1: Gray-level Transformations / 163 -- 8.6 Problems / 169 -- 9 HISTOGRAM PROCESSING 171 -- 9.1 Image Histogram: Definition and Example / 171 -- 9.2 Computing Image Histograms / 173 -- 9.3 Interpreting Image Histograms / 174 -- 9.4 Histogram Equalization / 176 -- 9.5 Direct Histogram Specification / 181 -- 9.6 Other Histogram Modification Techniques / 184 -- 9.6.1 Histogram Sliding / "]
[{"$nulls":4},"185 -- 9.6.2 Histogram Stretching / 185 -- 9.6.3 Histogram Shrinking / 186 -- 9.7 Tutorial 9.1: Image Histograms / 188 -- 9.8 Tutorial 9.2: Histogram Equalization and Specification / 191 -- 9.9 Tutorial 9.3: Other Histogram Modification Techniques / 195 -- 9.10 Problems / 200 -- 10 NEIGHBORHOOD PROCESSING 203 -- 10.1 Neighborhood Processing / 203 -- 10.2 Convolution and Correlation / 204 -- 10.2.1 Convolution in the One-Dimensional Domain / 204 -- 10.2.2 Convolution in the Two-Dimensional Domain / 206 -- 10.2.3 Correlation / 208 -- 10.2.4 Dealing with Image Borders / 210 -- 10.3 Image Smoothing (Low-pass Filters) / 211 -- 10.3.1 Mean Filter / 213 -- 10.3.2 Variations / 213 -- 10.3.3 Gaussian Blur Filter / 215 -- 10.3.4 Median and Other Nonlinear Filters / 216 -- 10.4 Image Sharpening (High-pass Filters) / 218 -- 10.4.1 The Laplacian / 219 -- 10.4.2 Composite Laplacian Mask / 220 -- 10.4.3 Directional Difference Filters / 220 -- 10.4.4 Unsharp Masking / 221 -- 10.4.5 High-Boost Filtering / 221 -- 10.5 Region of Interest Processing / 222."]
[{"$nulls":4},"10.6 Combining Spatial Enhancement Methods / 223 -- 10.7 Tutorial 10.1: Convolution and Correlation / 223 -- 10.8 Tutorial 10.2: Smoothing Filters in the Spatial Domain / 225 -- 10.9 Tutorial 10.3: Sharpening Filters in the Spatial Domain / 228 -- 10.10 Problems / 234 -- 11 FREQUENCY-DOMAIN FILTERING 235 -- 11.1 Introduction / 235 -- 11.2 Fourier Transform: the Mathematical Foundation / 237 -- 11.2.1 Basic Concepts / 237 -- 11.2.2 The 2D Discrete Fourier Transform: Mathematical Formulation / 239 -- 11.2.3 Summary of Properties of the Fourier Transform / 241 -- 11.2.4 Other Mathematical Transforms / 242 -- 11.3 Low-pass Filtering / 243 -- 11.3.1 Ideal LPF / 244 -- 11.3.2 Gaussian LPF / 246 -- 11.3.3 Butterworth LPF / 246 -- 11.4 High-pass Filtering / 248 -- 11.4.1 Ideal HPF / 248 -- 11.4.2 Gaussian HPF / 250 -- 11.4.3 Butterworth HPF / 250 -- 11.4.4 High-Frequency Emphasis / 251 -- 11.5 Tutorial 11.1: 2D Fourier Transform / 252 -- 11.6 Tutorial 11.2: Low-pass Filters in the Frequency Domain / 254 -- 11.7 Tutorial 11.3: High-pass Filters in the Frequency Domain / 258 -- 11.8 Problems / 264 -- 12 IMAGE RESTORATION 265 -- 12.1 Modeling of the Image Degradation and Restoration Problem / 265 -- 12.2 Noise and Noise Models / 266 -- 12.2.1 Selected Noise Probability Density Functions / 267 -- 12.2.2 Noise Estimation / 269 -- 12.3 Noise Reduction Using Spatial-domain Techniques / 269 -- 12.3.1 Mean Filters / 273 -- 12.3.2 Order Statistic Filters / 275 -- 12.3.3 Adaptive Filters / 278 -- 12.4 Noise Reduction Using Frequency-domain Techniques / 278 -- 12.4.1 Periodic Noise / 279 -- 12.4.2 Bandreject Filter / 280 -- 12.4.3 Bandpass Filter / 281 -- 12.4.4 Notch Filter / 282 -- 12.5 Image Deblurring Techniques / 283 -- 12.5.1 Wiener Filtering / 286 -- 12.6 Tutorial 12.1: Noise Reduction Using Spatial-domain Techniques / 289 -- 12.7 Problems / 296 -- 13 MORPHOLOGICAL IMAGE PROCESSING 299 -- 13.1 Introduction / 299 -- 13.2 Fundamental Concepts and Operations / 300 -- 13.2.1 The Structuring Element / 301."]
[{"$nulls":4},"13.3 Dilation and Erosion / 304 -- 13.3.1 Dilation / 305 -- 13.3.2 Erosion / 307 -- 13.4 Compound Operations / 310 -- 13.4.1 Opening / 310 -- 13.4.2 Closing / 311 -- 13.4.3 Hit-or-Miss Transform / 313 -- 13.5 Morphological Filtering / 314 -- 13.6 Basic Morphological Algorithms / 315 -- 13.6.1 Boundary Extraction / 317 -- 13.6.2 Region Filling / 319 -- 13.6.3 Extraction and Labeling of Connected -- Components / 321 -- 13.7 Grayscale Morphology / 322 -- 13.7.1 Dilation and Erosion / 323 -- 13.7.2 Opening and Closing / 323 -- 13.7.3 Top-Hat and Bottom-Hat Transformations / 325 -- 13.8 Tutorial 13.1: Binary Morphological Image Processing / 325 -- 13.9 Tutorial 13.2: Basic Morphological Algorithms / 330 -- 13.10 Problems "]
[{"$nulls":4},"/ 334 -- 14 EDGE DETECTION 335 -- 14.1 Formulation of the Problem / 335 -- 14.2 Basic Concepts / 336 -- 14.3 First-order Derivative Edge Detection / 338 -- 14.4 Second-order Derivative Edge Detection / 343 -- 14.4.1 Laplacian of Gaussian / 345 -- 14.5 The Canny Edge Detector / 347 -- 14.6 Edge Linking and Boundary Detection / 348 -- 14.6.1 The Hough Transform / 349 -- 14.7 Tutorial 14.1: Edge Detection / 354 -- 14.8 Problems / 363 -- 15 IMAGE SEGMENTATION 365 -- 15.1 Introduction / 365 -- 15.2 Intensity-based Segmentation / 367 -- 15.2.1 Image Thresholding / 368 -- 15.2.2 Global Thresholding / 369 -- 15.2.3 The Impact of Illumination and Noise on Thresholding / 370 -- 15.2.4 Local Thresholding / 371 -- 15.3 Region-based Segmentation / 373 -- 15.3.1 Region Growing / 374 -- 15.3.2 Region Splitting and Merging / 377 -- 15.4 Watershed Segmentation / 377 -- 15.4.1 The Distance Transform / 378 -- 15.5 Tutorial 15.1: Image Thresholding / 379 -- 15.6 Problems / 386 -- 16 COLOR IMAGE PROCESSING 387 -- 16.1 The Psychophysics of Color / 387 -- 16.1.1 Basic Concepts / 388 -- 16.1.2 The CIE XYZ Chromaticity Diagram / 390 -- 16.1.3 Perceptually Uniform Color Spaces / 393 -- 16.1.4 ICC Profiles / 395 -- 16.2 Color Models / 396 -- 16.2.1 The RGB Color Model / 396 -- 16.2.2 The CMY and CMYK Color Models / 398."]
[{"$nulls":4},"16.2.3 The HSV Color Model / 398 -- 16.2.4 The YIQ (NTSC) Color Model / 401 -- 16.2.5 The YCbCr Color Model / 401 -- 16.3 Representation of Color Images in MATLAB / 401 -- 16.3.1 RGB Images / 402 -- 16.3.2 Indexed Images / 403 -- 16.4 Pseudocolor Image Processing / 406 -- 16.4.1 Intensity Slicing / 406 -- 16.4.2 Gray Level to Color Transformations / 407 -- 16.4.3 Pseudocoloring in the Frequency Domain / 408 -- 16.5 Full-color Image Processing / 409 -- 16.5.1 Color Transformations / 410 -- 16.5.2 Histogram Processing / 412 -- 16.5.3 Color Image Smoothing and Sharpening / 412 -- 16.5.4 Color Noise Reduction / 414 -- 16.5.5 Color-Based Image Segmentation / 414 -- 16.5.6 Color Edge Detection / 417 -- 16.6 Tutorial 16.1: Pseudocolor Image Processing / 419 -- 16.7 Tutorial 16.2: Full-color Image Processing / 420 -- 16.8 Problems / 425 -- 17 IMAGE COMPRESSION AND CODING 427 -- 17.1 Introduction / 427 -- 17.2 Basic Concepts / 428 -- 17.2.1 Redundancy / 428 -- 17.2.2 Image Encoding and Decoding Model / 431 -- 17.3 Lossless and Lossy Compression Techniques / 432 -- 17.3.1 Lossless Compression Techniques / 432 -- 17.3.2 Lossy Compression Techniques / 433 -- 17.4 Image Compression Standards / 435 -- 17.4.1 Binary Image Compression Standards / 435 -- 17.4.2 Continuous Tone Still Image Compression Standards / 435 -- 17.4.3 JPEG / 436 -- 17.4.4 JPEG 2000 / 437 -- 17.4.5 JPEG-LS / 437 -- 17.5 Image Quality Measures / 438 -- 17.5.1 Subjective Quality Measurement / 438 -- 17.5.2 Objective Quality Measurement / 439 -- 17.6 Tutorial 17.1: Image Compression / 440 -- 18 FEATURE EXTRACTION AND REPRESENTATION 447 -- 18.1 Introduction / 447 -- 18.2 Feature Vectors and Vector Spaces / 448 -- 18.2.1 Invariance and Robustness / 449 -- 18.3 Binary Object Features / 450 -- 18.3.1 Area / 450 -- 18.3.2 Centroid / 450 -- 18.3.3 Axis of Least Second Moment / 451 -- 18.3.4 Projections / 451 -- 18.3.5 Euler Number / 452 -- 18.3.6 Perimeter / 453 -- 18.3.7 Thinness Ratio / 453 -- 18.3.8 Eccentricity / 454."]
[{"$nulls":4},"18.3.9 Aspect Ratio / 454 -- 18.3.10 Moments / 455 -- 18.4 Boundary Descriptors / 456 -- 18.4.1 Chain Code, Freeman Code, and Shape Number / 459 -- 18.4.2 Signatures / 461 -- 18.4.3 Fourier Descriptors / 462 -- 18.5 Histogram-based (Statistical) Features / 464 -- 18.6 Texture Features / 466 -- 18.7 Tutorial 18.1: Feature Extraction and Representation / 470 -- 18.8 Problems / 474 -- 19 VISUAL PATTERN "]
[{"$nulls":4},"RECOGNITION 475 -- 19.1 Introduction / 475 -- 19.2 Fundamentals / 476 -- 19.2.1 Design and Implementation of a Visual Pattern Classifier / 476 -- 19.2.2 Patterns and Pattern Classes / 478 -- 19.2.3 Data Preprocessing / 479 -- 19.2.4 Training and Test Sets / 480 -- 19.2.5 Confusion Matrix / 480 -- 19.2.6 System Errors / 481 -- 19.2.7 Hit Rates, False Alarm Rates, and ROC Curves / 481 -- 19.2.8 Precision and Recall / 482 -- 19.2.9 Distance and Similarity Measures / 485 -- 19.3 Statistical Pattern Classification Techniques / 487 -- 19.3.1 Minimum Distance Classifier / 488 -- 19.3.2 k-Nearest Neighbors Classifier / 490 -- 19.3.3 Bayesian Classifier / 490 -- 19.4 Tutorial 19.1: Pattern Classification / 491 -- 19.5 Problems / 497 -- PART II VIDEO PROCESSING -- 20 VIDEO FUNDAMENTALS 501 -- 20.1 Basic Concepts and Terminology / 501 -- 20.2 Monochrome Analog Video / 507 -- 20.2.1 Analog Video Raster / 507 -- 20.2.2 Blanking Intervals / 508 -- 20.2.3 Synchronization Signals / 509 -- 20.2.4 Spectral Content of Composite Monochrome Analog Video / 509 -- 20.3 Color in Video / 510 -- 20.4 Analog Video Standards / 512 -- 20.4.1 NTSC / 513 -- 20.4.2 PAL / 513 -- 20.4.3 SECAM / 514 -- 20.4.4 HDTV / 514 -- 20.5 Digital Video Basics / 514 -- 20.5.1 Advantages of Digital Video / 515 -- 20.5.2 Parameters of a Digital Video Sequence / 516 -- 20.5.3 The Audio Component / 517 -- 20.6 Analog-to-Digital Conversion / 517 -- 20.7 Color Representation and Chroma Subsampling / 520 -- 20.8 Digital Video Formats and Standards / 521 -- 20.8.1 The Rec. 601 Digital Video Format / 522 -- 20.8.2 The Common Intermediate Format / 523."]
[{"$nulls":4},"20.8.3 The Source Intermediate Format / 524 -- 20.9 Video Compression Techniques and Standards / 524 -- 20.9.1 Video Compression Standards, Codecs, and Containers / 525 -- 20.10 Video Processing in MATLAB / 526 -- 20.10.1 Reading Video Files / 527 -- 20.10.2 Processing Video Files / 527 -- 20.10.3 Playing Video Files / 527 -- 20.10.4 Writing Video Files / 528 -- 20.11 Tutorial 20.1: Basic Digital Video Manipulation in MATLAB / 528 -- 20.12 Tutorial 20.2: Working with YUV Video Data / 534 -- 20.13 Problems / 539 -- 21 VIDEO SAMPLING RATE AND STANDARDS CONVERSION 541 -- 21.1 Video Sampling / 541 -- 21.2 Sampling Rate Conversion / 542 -- 21.3 Standards Conversion / 543 -- 21.3.1 Deinterlacing / 543 -- 21.3.2 Conversion between PAL and NTSC Signals / 545 -- 21.3.3 Color Space Conversion / 545 -- 21.3.4 Aspect Ratio Conversion / 546 -- 21.3.5 3:2 Pull-Down / 547 -- 21.4 Tutorial 21.1: Line Down-Conversion / 548 -- 21.5 Tutorial 21.2: Deinterlacing / 550 -- 21.6 Tutorial 21.3: NTSC to PAL Conversion / 556 -- 21.7 Tutorial 21.4: 3:2 Pull-Down / 557 -- 21.8 Problems / 559 -- 22 DIGITAL VIDEO PROCESSING TECHNIQUES AND APPLICATIONS 561 -- 22.1 Fundamentals of Motion Estimation and Motion Compensation / 561 -- 22.2 General Methodologies in Motion Estimation / 564 -- 22.2.1 Motion Representation / 566 -- 22.2.2 Motion Estimation Criteria / 567 -- 22.2.3 Optimization Methods / 567 -- 22.3 Motion Estimation Algorithms / 568 -- 22.3.1 Exhaustive Search Block Matching Algorithm / 568 -- 22.3.2 Fast Algorithms / 570 -- 22.3.3 Hierarchical Block Matching Algorithm / 571 -- 22.3.4 Phase Correlation Method / 573 -- 22.4 Video Enhancement and Noise Reduction / 573 -- 22.4.1 Noise Reduction in Video / 574 -- 22.4.2 Interframe Filtering Techniques / 575 -- 22.5 Case Study: Object Segmentation and Tracking in the Presence of Complex Background / 576 -- 22.6 Tutorial 22.1: Block-based Motion Estimation / 579 -- 22.7 Tutorial 22.2: Intraframe and Interframe Filtering Techniques / 585 -- 22.8 Problems / 589."]
[{"$nulls":4},"Appendix A: HUMAN VISUAL PERCEPTION 591 -- A.1 Introduction / 591 -- A.2 The Human Eye / 592 -- A.3 Characteristics of Human Vision / "]
[{"$nulls":4},"596 -- A.3.1 Resolution, Viewing Distance, and Viewing Angle / 596 -- A.3.2 Detail and Sharpness Perception / 598 -- A.3.3 Optical Transfer Function and Modulation Transfer Function / 599 -- A.3.4 Brightness Perception / 600 -- A.3.5 Contrast Ratio and Contrast Sensitivity Function / 603 -- A.3.6 Perception of Motion / 605 -- A.3.7 Spatiotemporal Resolution and Frequency Response / 606 -- A.3.8 Masking / 608 -- A.4 Implications and Applications of Knowledge about the Human Visual System / 609 -- Appendix B: GUI DEVELOPMENT 611 -- B.1 Introduction / 611 -- B.2 GUI File Structure / 611 -- B.3 Passing System Control / 613 -- B.4 The UserData Object / 615 -- B.5 A Working GUI Demo / 616 -- B.6 Concluding Remarks / 618 -- REFERENCES 619 -- INDEX 627."]
[null,null,null,"Sommario/riassunto","\"The book provides a practical introduction to the most important topics in image and video processing using MATLAB (and its Image Processing Toolbox) as a tool to demonstrate the most important techniques and algorithms. The contents are presented in a clear, technically accurate, objective way, with just enough mathematical detail. Most of the chapters are supported by figures, examples, illustrative problems, MATLAB scripts, suggestions for further reading, bibliographical references, useful Web sites, and exercises and computer projects to extend the understanding of their contents\"--"]