Digital Image Processing
![](https://www.google.com/images/icons/product/drive-32.png)
Lec 1 - CV vs CG vs DIP
Lec 1 - CV vs CG vs DIP
![](https://www.google.com/images/icons/product/drive-32.png)
Lec 2 - Introduction
Lec 2 - Introduction
![](https://www.google.com/images/icons/product/drive-32.png)
Lec 3 - Image Formation
Lec 3 - Image Formation
![](https://www.google.com/images/icons/product/drive-32.png)
Lec 4 - Sampling & Quantization
Lec 4 - Sampling & Quantization
![](https://www.google.com/images/icons/product/drive-32.png)
Lec 5 - Intensity Transformation
Lec 5 - Intensity Transformation
![](https://www.google.com/images/icons/product/drive-32.png)
Lec 6 - Image Filtering
Lec 6 - Image Filtering
![](https://www.google.com/images/icons/product/drive-32.png)
Lec 7 - Fourier Transform
Lec 7 - Fourier Transform
![](https://www.google.com/images/icons/product/drive-32.png)
Lec 8 - Color Models
Lec 8 - Color Models
![](https://www.google.com/images/icons/product/drive-32.png)
Lec 9 - Image Interpolation
Lec 9 - Image Interpolation
![](https://www.google.com/images/icons/product/drive-32.png)
Lec 10 - Geometric / Spatial Transformations
Lec 10 - Geometric / Spatial Transformations
![](https://www.google.com/images/icons/product/drive-32.png)
Lec 11 - Scale Space Representation
Lec 11 - Scale Space Representation
![](https://www.google.com/images/icons/product/drive-32.png)
Lec 12 - Image Segmentation
Lec 12 - Image Segmentation
![](https://www.google.com/images/icons/product/drive-32.png)
Lec 13 - Image Morphology
Lec 13 - Image Morphology
![](https://www.google.com/images/icons/product/drive-32.png)
Lec 14 - Bag of Words Model
Lec 14 - Bag of Words Model