Image Processing

  1. Image Restoration and Denoising
    1. Models of Image Degradation
      1. The Degradation Function
        1. Linear Degradation Models
          1. Nonlinear Degradation Models
            1. Additive Noise Models
            2. Blur Models
              1. Motion Blur
                1. Linear Motion
                  1. Rotational Motion
                  2. Out-of-Focus Blur
                    1. Atmospheric Turbulence
                    2. Point Spread Function
                      1. Definition and Properties
                        1. Measurement Techniques
                      2. Noise Models
                        1. Gaussian Noise
                          1. Statistical Properties
                            1. Additive Nature
                              1. Parameter Estimation
                              2. Rayleigh Noise
                                1. Probability Distribution
                                  1. Applications in Radar Imaging
                                  2. Salt-and-Pepper Noise
                                    1. Impulse Noise Characteristics
                                      1. Probability Parameters
                                      2. Uniform Noise
                                        1. Quantization Noise
                                          1. Statistical Properties
                                          2. Sources of Noise in Imaging
                                            1. Sensor Noise
                                              1. Transmission Noise
                                                1. Environmental Factors
                                              2. Noise Reduction using Spatial Filtering
                                                1. Mean Filters
                                                  1. Arithmetic Mean Filter
                                                    1. Implementation and Properties
                                                    2. Geometric Mean Filter
                                                      1. Multiplicative Noise Reduction
                                                      2. Harmonic Mean Filter
                                                        1. Salt Noise Reduction
                                                        2. Contraharmonic Mean Filter
                                                          1. Pepper Noise Reduction
                                                        3. Order-Statistic Filters
                                                          1. Median Filter
                                                            1. Impulse Noise Removal
                                                              1. Edge Preservation Properties
                                                              2. Min and Max Filters
                                                                1. Specific Noise Type Removal
                                                                2. Midpoint Filter
                                                                  1. Uniform and Gaussian Noise
                                                                3. Adaptive Filters
                                                                  1. Adaptive Median Filter
                                                                    1. Window Size Adaptation
                                                                      1. Impulse Detection
                                                                      2. Adaptive Local Noise Reduction
                                                                        1. Local Statistics Estimation
                                                                          1. Wiener-type Filtering
                                                                      3. Noise Reduction using Frequency Domain Filtering
                                                                        1. Band-Reject Filters
                                                                          1. Periodic Noise Removal
                                                                          2. Band-Pass Filters
                                                                            1. Signal Preservation
                                                                            2. Notch Filtering
                                                                              1. Sinusoidal Noise Removal
                                                                                1. Multiple Frequency Components
                                                                              2. Linear Restoration Methods
                                                                                1. Inverse Filtering
                                                                                  1. Basic Inverse Filtering
                                                                                    1. Limitations and Instability
                                                                                      1. Regularization Techniques
                                                                                      2. Wiener Filtering
                                                                                        1. Minimum Mean Square Error Criterion
                                                                                          1. Noise-to-Signal Power Ratio
                                                                                            1. Implementation in Frequency Domain
                                                                                            2. Constrained Least Squares Filtering
                                                                                              1. Regularization Parameter
                                                                                                1. Smoothness Constraints
                                                                                                  1. Implementation Algorithm
                                                                                                2. Nonlinear Restoration Methods
                                                                                                  1. Maximum Likelihood Methods
                                                                                                    1. Bayesian Methods
                                                                                                      1. Iterative Methods
                                                                                                        1. Richardson-Lucy Algorithm
                                                                                                          1. Expectation Maximization

                                                                                                      Previous

                                                                                                      4. Frequency Domain Processing

                                                                                                      Go to top

                                                                                                      Next

                                                                                                      6. Image Segmentation