Image Sharpening in Digital Image Processing||Sharpening Spatial filters with examples||HPF||MATLAB

Video lecture series on Digital Image Processing, Lecture: 17,
Image Sharpening spatial filters in DIP with examples and its implementation in MATLAB
What is the Image sharpening?
What are sharpening spatial filters?
What is High Pass Filtering in Digital Image Processing?
Mathematical explanation/Example of first order and second order derivative for digital image.
Example of applying a Laplacian filter mask on digital image.
How can Laplacian linear filter/High Pass Filtering/Derivative spatial filter be implemented in MATLAB?
Digital Image Processing (DIP) using/in MATLAB

Link to download ppts/lecture notes:

MATLAB code used in the video is present at the end in the Description
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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

% Matlab program for HPF (Sharpening)
clc;
clear all;
close all;
warning off;
%a=rgb2gray(a);
%a = im2double(a);
subplot(2,2,1);
imshow(a); title('Original Image');
%w = [0 1 0 ; 1 -4 1 ; 0 1 0]; %Laplacian filter
%I = imfilter(a,w);
sigma = 0.4; alpha = 0.5; I = locallapfilt(a, sigma, alpha);
subplot(2,2,2);
imshow(I); title('Laplacian filtered Image');
I1 = a + I;
subplot(2,2,3);
imshow(I1);title('Sharpened Image (Laplacian+Original)');
%montage({a, I}, 'Size', [1 2]);
%title('Original Image HPF (Sharpened) Image');