College of Software Engineering 
                                                        Undergraduate Course Syllabus 
                       CCoouurrssee  IIDD        311040020                 CCoouurrssee  NNaammee  
                       CCoouurrssee  IIDD                                  CCoouurrssee  NNaammee        Digital Image Processing 
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                               SSeemmeesstteerr               □First Fall     □First Spring     □Second Fall     □Second Spring  
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                                                 This  course  provide  an  introduction  to  the  basic  concepts  and 
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                     DDeessccrriippttiioonn      methodologies for digital image processing, and to develop a foundation 
                                                 that can be used as the basis for further study and research in this field. 
                                                   
                                                   
                                                  
                                                 C Language Programming                                                                                                                                                 删删除除的的内内容容: Language
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                   PPrreerreeqquuiissiitteess  
                   PPrreerreeqquuiissiitteess   Discrete Mathematics 
                                                 Probability Statistics 
                                                   
                                                   
                                                  
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                        TTeexxttbbooookk         Digital Image Processing. R. C. Gonzalez and R. E. Woods.  电子工业出版社，2007.9,2nd edition 
                                                 R.  C.  Gonzalez,  R.  E.  Woods,  S.  L.  Eddins.  Digital  Image  Processing  using  Matlab. 
                                                 Pearson-Prentice-Hall, 2004. 
                                                 K. R. Castleman. Digital Image Processing. Prentice-Hall, Englewood Cliffs, NJ, 1996. 
                                                 Computerized Medical Imaging and Graphics 
                        RReessoouurrccee         CVGIP: Computer Vision and Image Understanding 
                        RReessoouurrccee  
                                                 CVGIP: Graphical Models and Image Processing 
                                                 Digital Signal Processing: A Review Journal 
                                                   IEE Proceedings    Part I: Communications Speech and Vision 
                                                   IEEE Trans. Image Processing 
                 IEEE Trans. Pattern Analysis and Machine Intelligence 
                 IEEE Trans. Systems, Man, and Cybernetics 
                 
                 
               assignments, class participation (40%),      final exam (60%)  
                                               
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               1    Introduction      2h 
                 1.1 What is Digital Image Processing? 
                 1.2 The Origins of Digital Image Processing 
                 1.3 Examples of Fields that Use Digital Image Processing 
                 1.4 Fundamental Steps in Digital Image Processing 
                 1.5 Components of an Image Processing System 
               2    Digital Image Fundamentals      4h 
                 2.1 Elments of Visual Perception 
                 2.2 Light and the Electromagnetic Spectrum 
                 2.3 Image Sensing and Acqusition 
                 2.4 Image Sampling and Quantization 
                 2.5 Some Basic Relationships Between Pixels 
                 2.6 Linear and Nonlinear Operations 
               3    Image Enhancement in the Spatial Domain      8h 
                 3.1 Background 
                 3.2 Some Basic Gray Level Transformations 
                 3.3 Histogram Processing 
                 3.4 Enhancement Using Arithmetic/Logic Operations 
                 3.5 Basic of Spatial Filters 
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                 3.6 Smoothing Spatial Filters 
                 3.7 Sharpening Spatial Filters 
                 3.8 Combining Spatial Enhancement Methods 
               4    Image Enhancement in the Frequency Domain      5h 
                 4.1 Background 
                 4.2 Introduction to the Fourier Transform and the Frequency 
                 4.3 Smoothing Frequency-Domain Filters 
                 4.4 Sharpening Frequency-Domain Filters 
               5    Image Restoration          4h 
                     5.1 A model of the image Degradation/Restoration Process 
                     5.2 noise models 
                     5.3 Restoration in the Presence of Noise only - spatial Filtering 
                     5.4 Periodic Noise Reduction by Frequnecy Domain Filtering 
                     5.5 Minmum mean Squre Error(Wiener Filtering 
                     5.6 Geometric Mean Filter 
                     5.7 Geometric Transformations 
               6    Color Image Processing      3h 
                 6.1 Color Fundamentals 
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                 6.2 Color Models 
                 6.3 Pseudocolor Image Processing 
                 6.4 Basics of Full-Color Image Processing 
                 6.5 Smoothing and Sharpening 
               8    Image Compression      6h 
                     8.1 Fundamentals 
                     8.2 Image Compression Models 
                   8.3 Elements of Information Theory 
                 8.4 Error-Free Compression 
                 8.5 Lossy Compression 
                 8.6 mage Compressing Standards 
                
                
               This course will require to use    VC++ 6.0 software for programming 
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