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Video lecture series on Digital Image Processing, Lecture: 28, Inverse Filtering in Digital Image Processing and its implementation in MATLAB What is Inverse filtering/Deconvolution ? What are different ways of doing estimation by modelling? Why the Inverse filtering is not used in its original form? How to solve the problem associated with Inverse filtering? Link to download ppts/lecture notes: https://drive.google.com/drive/folder... MATLAB code used in the video is given at the end in the description box. #DIP #DIPwithMATLAB #DigitalImageProcessingUsingMATLAB #DigitalImageProcessing #StudywithDrDafda Links of other lectures in the series: 1. What is Digital Image Processing? • What is Digital Image Processing || I... 2. Human Visual System and Elements of Digital Image Processing • Human Visual System and Elements of ... 3. Fundamental steps in Digital Image Processing • Fundamental steps in Digital Image Pr... 4. Image Sensing and Acquisition • Image Sensing and Acquisition in Digi... 5. Relationship between Pixels in Digital Image Processing: Neighborhood, Adjacency & Distance measures • Relationship between Pixels in Digita... 6. Image Sampling and Quantization • Image Sampling and Quantization in Di... 7. Spatial and Intensity resolution in Digital Image Processing and its Implementation in MATLAB • Spatial and Intensity Resolution in D... 8. Basics of intensity transformations and spatial filtering and implementation in MATLAB • Basics of Intensity transformations a... 9. Image negatives, Log and Power-Law transformations for DIP and implementation in MATLAB • Intensity (Image negatives, Log and P... 10. Piecewise linear transformation function: Contrast Stretching in DIP & implementation in MATLAB • Piecewise linear transformation funct... 11. Piecewise linear transformation function: Intensity-level slicing in DIP and implementation in MATLAB • Piecewise linear transformation funct... 12. Piecewise linear transformation function: Bit-plane slicing in DIP and implementation in MATLAB • Piecewise linear transformation funct... 13. Histogram Equalization in DIP and its implementation in MATLAB • Histogram equalization/processing in ... 14. Histogram Matching/Specification in Digital Image Processing with example and perform in MATLAB • Histogram Matching/Specification in D... 15. Fundamentals of Spatial filtering and Smoothing spatial filters in Digital Image Processing & MATLAB • Fundamentals of Spatial filtering and... 16. Order statistics/Non-linear (Median, Minimum and Maximum) spatial filters in DIP with example & Implementation in MATLAB • Order statistics/Non-linear(Median, M... 17. Image Sharpening in Digital Image Processing||Sharpening Spatial filters with examples||HPF||MATLAB • Image Sharpening in Digital Image Pro... 18. Introduction to Image Enhancement in the frequency domain and different steps for filtering in the frequency domain for DIP • Intro. to Image Enhancement in the fr... 19. Image Smoothing in frequency domain filtering and its Implementation in MATLAB • Image Smoothing(LPF) in frequency dom... 20. Image Sharpening (HPF) in frequency domain filtering and its Implementation in MATLAB • Image Sharpening(HPF)in frequency dom... 21. Laplacian, Unsharp masking/High Boost filtering in the frequency domain filtering and its Implementation in MATLAB • Laplacian, Unsharp masking/High-Boost... 22. Homomorphic Filtering in Digital Image Processing and its Implementation in MATLAB • Homomorphic Filtering in Digital Imag... 23. Image Degradation and Restoration and Model of Image Degradation and Restoration process • Image Degradation and Restoration and... 24. Noise Models with examples in Digital Image Processing/DIP • Noise Models with examples in Digital... 25. Periodic Noise, Noise Estimation and Band Pass/Band Reject filters and its implementation in MATLAB • Periodic Noise,Noise Estimation and B... 26. Image Restoration in the Presence of Noise Only-Spatial Filtering with examples/calculations for DIP • Image Restoration in the Presence of ... 27. Estimating the Degradation function in Digital Image Processing |Observation |Experimentation |Modelling • Estimating the Degradation function i... MATLAB code used in the video: % Matlab program for Inverse filtering/Deconvolution clc; clear all; close all; % Read the image % a = imread('Maulik.png'); % a = rgb2gray(a); a=imread('Cameraman.tif'); subplot(1,3,1); imshow(a); title('Original Image') a = im2double(a); PSF = fspecial('motion',21,11); a_blurred = imfilter(a,PSF,'conv','circular'); % a_blurred = imnoise(a_blurred, 'gaussian'); subplot(1,3,2); imshow(a_blurred); title('Blurred Image'); DD = deconvreg(a_blurred,PSF); subplot(1,3,3) imshow(DD); title('Restored Image');