2. Raising and restoration
Enhancement and restoration are two processing approaches that can be used to improve the appearance of images. There is no fundamental difference between these processes, but if there were to be one, it would be this: in the first case, the aim is to obtain a visual improvement (there is not necessarily any major modification of the information, it's primarily a new interpretation); in the second, the aim is to remove elements (noise) in order to reconstruct new ones. This section begins with approaches in the classical (spatial) domain, as opposed to the frequency domain (Fourier domain).
2.1 Spatial approach
Exclusive to subscribers. 97% yet to be discovered!
You do not have access to this resource.
Click here to request your free trial access!
Already subscribed? Log in!
The Ultimate Scientific and Technical Reference
This article is included in
Optics and photonics
This offer includes:
Knowledge Base
Updated and enriched with articles validated by our scientific committees
Services
A set of exclusive tools to complement the resources
Practical Path
Operational and didactic, to guarantee the acquisition of transversal skills
Doc & Quiz
Interactive articles with quizzes, for constructive reading
Raising and restoration
Bibliography
Reference software
There are many software packages available to meet your image processing needs. As the Python language is relatively easy to access, here are a few free tools that make it easy to get started with all the techniques presented.
OpenCV, Python and C++ languages, free software, https://opencv.org . High performance,...
Exclusive to subscribers. 97% yet to be discovered!
You do not have access to this resource.
Click here to request your free trial access!
Already subscribed? Log in!
The Ultimate Scientific and Technical Reference