Lesson 7 - Image Restoration

This lesson demonstrates image restoration using VisiQuest:

Inverse Filtering | Pseudo-Inverse Filtering | Weiner Filtering

Each section takes you through an incremental portion of the lesson while building on skills learned in previous lessons and sections.

Section 1 - Inverse Filtering

Recover an image that has been corrupted or degraded.

• Lesson

• Hands-on Lab

Back to Top

Section 2 - Pseudo-Inverse Filtering

Define a threshold value in the magnitude of inverse kernel DFT where the division will take place.

• Lesson

• Hands-on Lab

Back to Top

Section 3 - Wiener Filtering

Weiner filtering assumes that if noise is present in the system, then it is considered to be additive white Gaussian noise (AWGN).

• Lesson

• Hands-on Lab

Back to Top