Digital Imaging and Processing

  1. Image Restoration
    1. Image Degradation and Restoration Models
      1. Degradation Process
        1. Mathematical Model
          1. Linear vs Nonlinear Degradation
            1. Spatial vs Frequency Domain Models
            2. Types of Degradation
              1. Blur Models
                1. Motion Blur
                  1. Out-of-Focus Blur
                    1. Atmospheric Turbulence
                    2. Geometric Distortions
                    3. Noise Models and Characteristics
                      1. Gaussian Noise
                        1. Properties and Applications
                        2. Rayleigh Noise
                          1. Exponential Noise
                            1. Uniform Noise
                              1. Salt-and-Pepper Noise
                                1. Poisson Noise
                                  1. Periodic Noise
                                2. Noise Reduction Techniques
                                  1. Spatial Domain Noise Reduction
                                    1. Mean Filters for Noise Reduction
                                      1. Order-Statistic Filters
                                        1. Median Filter Applications
                                          1. Alpha-Trimmed Mean Filter
                                          2. Adaptive Filters
                                            1. Adaptive Local Noise Reduction
                                              1. Adaptive Median Filter
                                            2. Frequency Domain Noise Reduction
                                              1. Low-Pass Filtering
                                                1. Band-Reject Filters
                                                  1. Notch Filters
                                                    1. Optimum Notch Filtering
                                                    2. Noise Parameter Estimation
                                                      1. Noise Variance Estimation
                                                        1. Noise Model Identification
                                                      2. Linear Restoration Methods
                                                        1. Inverse Filtering
                                                          1. Direct Inverse Filtering
                                                            1. Limitations and Instability
                                                              1. Pseudo-Inverse Filtering
                                                              2. Wiener Filtering
                                                                1. Minimum Mean Square Error
                                                                  1. Noise-to-Signal Power Ratio
                                                                    1. Implementation Considerations
                                                                    2. Constrained Least Squares Filtering
                                                                      1. Regularization Parameter
                                                                        1. Lagrange Multipliers
                                                                          1. Parameter Selection
                                                                        2. Nonlinear Restoration Methods
                                                                          1. Maximum Likelihood Methods
                                                                            1. Bayesian Methods
                                                                              1. Iterative Methods
                                                                              2. Geometric Transformations
                                                                                1. Spatial Transformations
                                                                                  1. Affine Transformations
                                                                                    1. Perspective Transformations
                                                                                    2. Image Registration
                                                                                      1. Feature-Based Registration
                                                                                        1. Intensity-Based Registration
                                                                                        2. Interpolation Methods
                                                                                          1. Nearest Neighbor
                                                                                            1. Bilinear Interpolation
                                                                                              1. Bicubic Interpolation

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                                                                                          3. Image Enhancement in the Frequency Domain

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                                                                                          5. Color Image Processing