In image restoration, the degradation is modeled. This enables the effects of the degradation to be (largely) removed. The challenge is the loss of information and noise. The following diagram shows the basic image degradation model:
In the next few sections, we will describe a couple of degradation models (namely inverse and Wiener filters).
Get Hands-On Image Processing with Python now with the O’Reilly learning platform.
O’Reilly members experience books, live events, courses curated by job role, and more from O’Reilly and nearly 200 top publishers.
Get Mark Richards’s Software Architecture Patterns ebook to better understand how to design components—and how they should interact.
Dive in for free with a 10-day trial of the O’Reilly learning platform—then explore all the other resources our members count on to build skills and solve problems every day.
Start your free trial Become a member now