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Image Restoration in the Presence of Noise Only-Spatial Filtering with examples/calculations for DIP
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Video lecture series on Digital Image Processing, Lecture: 26,
Image Restoration in the Presence of Noise Only-Spatial Filtering with examples/calculations for Digital Image Processing
What is Restoration in the presence of Noise only ?
Why spatial filtering is used for restoration when only Noise is present?
Which are the types of Spatial filters?
Which are tpes of Mean filters?
How to calculate values for different mean filters?
Which are tpes of Order Statistics filters?
How to calculate values for different Order Statistics filters?
What is Alpha-trimmed mean filter?
What is the advantage of using Alpha-trimmed mean filter?
How to calculate values for Alpha-trimmed mean filter?
What are Harmonic and Contraharmonic Filters?
What are Median filter, Max filter, Min filter and Mid-point filter?
Link to download ppts/lecture notes:
#DIP
#DIPwithMATLAB
#DigitalImageProcessingUsingMATLAB
#DigitalImageProcessing
#StudywithDrDafda
Links of other lectures in the series:
1. What is Digital Image Processing?
2. Human Visual System and Elements of Digital Image Processing
3. Fundamental steps in Digital Image Processing
4. Image Sensing and Acquisition
5. Relationship between Pixels in Digital Image Processing: Neighborhood, Adjacency & Distance measures
6. Image Sampling and Quantization
7. Spatial and Intensity resolution in Digital Image Processing and its Implementation in MATLAB
8. Basics of intensity transformations and spatial filtering and implementation in MATLAB
9. Image negatives, Log and Power-Law transformations for DIP and implementation in MATLAB
10. Piecewise linear transformation function: Contrast Stretching in DIP & implementation in MATLAB
11. Piecewise linear transformation function: Intensity-level slicing in DIP and implementation in MATLAB
12. Piecewise linear transformation function: Bit-plane slicing in DIP and implementation in MATLAB
13. Histogram Equalization in DIP and its implementation in MATLAB
14. Histogram Matching/Specification in Digital Image Processing with example and perform in MATLAB
15. Fundamentals of Spatial filtering and Smoothing spatial filters in Digital Image Processing & MATLAB
16. Order statistics/Non-linear (Median, Minimum and Maximum) spatial filters in DIP with example & Implementation in MATLAB
17. Image Sharpening in Digital Image Processing||Sharpening Spatial filters with examples||HPF||MATLAB
18. Introduction to Image Enhancement in the frequency domain and different steps for filtering in the frequency domain for DIP
19. Image Smoothing in frequency domain filtering and its Implementation in MATLAB
20. Image Sharpening (HPF) in frequency domain filtering and its Implementation in MATLAB
21. Laplacian, Unsharp masking/High Boost filtering in the frequency domain filtering and its Implementation in MATLAB
22. Homomorphic Filtering in Digital Image Processing and its Implementation in MATLAB
23. Image Degradation and Restoration and Model of Image Degradation and Restoration process
24. Noise Models with examples in Digital Image Processing/DIP
25. Periodic Noise, Noise Estimation and Band Pass/Band Reject filters and its implementation in MATLAB
Image Restoration in the Presence of Noise Only-Spatial Filtering with examples/calculations for Digital Image Processing
What is Restoration in the presence of Noise only ?
Why spatial filtering is used for restoration when only Noise is present?
Which are the types of Spatial filters?
Which are tpes of Mean filters?
How to calculate values for different mean filters?
Which are tpes of Order Statistics filters?
How to calculate values for different Order Statistics filters?
What is Alpha-trimmed mean filter?
What is the advantage of using Alpha-trimmed mean filter?
How to calculate values for Alpha-trimmed mean filter?
What are Harmonic and Contraharmonic Filters?
What are Median filter, Max filter, Min filter and Mid-point filter?
Link to download ppts/lecture notes:
#DIP
#DIPwithMATLAB
#DigitalImageProcessingUsingMATLAB
#DigitalImageProcessing
#StudywithDrDafda
Links of other lectures in the series:
1. What is Digital Image Processing?
2. Human Visual System and Elements of Digital Image Processing
3. Fundamental steps in Digital Image Processing
4. Image Sensing and Acquisition
5. Relationship between Pixels in Digital Image Processing: Neighborhood, Adjacency & Distance measures
6. Image Sampling and Quantization
7. Spatial and Intensity resolution in Digital Image Processing and its Implementation in MATLAB
8. Basics of intensity transformations and spatial filtering and implementation in MATLAB
9. Image negatives, Log and Power-Law transformations for DIP and implementation in MATLAB
10. Piecewise linear transformation function: Contrast Stretching in DIP & implementation in MATLAB
11. Piecewise linear transformation function: Intensity-level slicing in DIP and implementation in MATLAB
12. Piecewise linear transformation function: Bit-plane slicing in DIP and implementation in MATLAB
13. Histogram Equalization in DIP and its implementation in MATLAB
14. Histogram Matching/Specification in Digital Image Processing with example and perform in MATLAB
15. Fundamentals of Spatial filtering and Smoothing spatial filters in Digital Image Processing & MATLAB
16. Order statistics/Non-linear (Median, Minimum and Maximum) spatial filters in DIP with example & Implementation in MATLAB
17. Image Sharpening in Digital Image Processing||Sharpening Spatial filters with examples||HPF||MATLAB
18. Introduction to Image Enhancement in the frequency domain and different steps for filtering in the frequency domain for DIP
19. Image Smoothing in frequency domain filtering and its Implementation in MATLAB
20. Image Sharpening (HPF) in frequency domain filtering and its Implementation in MATLAB
21. Laplacian, Unsharp masking/High Boost filtering in the frequency domain filtering and its Implementation in MATLAB
22. Homomorphic Filtering in Digital Image Processing and its Implementation in MATLAB
23. Image Degradation and Restoration and Model of Image Degradation and Restoration process
24. Noise Models with examples in Digital Image Processing/DIP
25. Periodic Noise, Noise Estimation and Band Pass/Band Reject filters and its implementation in MATLAB
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