16. Selamawit Workalemahu
Image denoising
In ,
• The singular values in D - illustrate that
how important a content (a singular
vector) is in matrix (image) A
• Removing smaller singular values –
removing noise in an image
Original image Image with noise added
After applying
SVD for
denoising
17. Selamawit Workalemahu
Image denoising
In ,
• The singular values in D - illustrate that
how important a content (a singular
vector) is in matrix (image) A
• Removing smaller singular values –
removing noise in an image
18. Selamawit Workalemahu
Image compression
• By keeping only the largest
singular values and the
corresponding singular
vectors in the SVD, we can
reduce the size of the data
while retaining most of the
important information.
723 KB
532 KB 417 KB
308 KB 277 KB
19. Selamawit Workalemahu
Configuring python based liberaries for digital image processing
• Install visual studio code
• Install python
• Install Opencv inside Vscode – see this video
• Install Numpy check this video
• Install Matplotlib – check this video
• Install scipy