Image Zero Padding For Image Spatial Domain Filtering

This video explain the image zero padding technique. As in spatial domain filtering to involve boundary pixels in the filtering action we need to pad zeros at the board of the image. And how many number of zeros we need to pad depending upon Kernel Size. Here we explain logic behind this so that we can implement it's code in OpenCV Python.

For more details refer the following videos also:-
1) OpenCv implementation of Image Padding using copyMakeBorder method
2)OpenCv Python implementation of Image Zero Padding

3)Image Low Pass Filtering in Spatial Domain

4) OpenCV python for Low Pass Filtering in Spatial Domain

5) Median Filtering in Spatial Domain

6) Frequency Domain Filtering Principle I

7) Low Pass frequency domain filtering in Image Enhancement

References:
Python tool
images from google search engine
Book:- 'Digital Image processing' by Gonzalez R.C.

For more such contents :-
Courses on Udemy
Courses on Udemy
1) Scientific Approach for Report Writing using LaTex

2) Digital Filters – FIR & IIR

[ShivamGupta-hrsn]

Thank you mam for everything!!Your lectures awesome, clear-cut, easy to understand. Plz keep doing what you are doing .It is helping a lot of students.😊