Image Enhancement

Two reasons exist for applying an image enhancement technique. Enhancement can increase perceptibility of objects in an image to the human observer or it may be needed as a preprocessing step for subsequent automatic image analysis. Enhancement methods differ for the two purposes. An enhancement met...

Full description

Saved in:
Bibliographic Details
Published inGuide to Medical Image Analysis pp. 125 - 172
Main Author Toennies, Klaus D
Format Book Chapter
LanguageEnglish
Published United Kingdom Springer London, Limited 2017
Springer London
SeriesAdvances in Computer Vision and Pattern Recognition
Subjects
Anisotropic Diffusion
Impulse Noise
Median Filter
Modulation Transfer Function
Noise Removal
Online AccessGet full text

Cover

More Information
Summary:Two reasons exist for applying an image enhancement technique. Enhancement can increase perceptibility of objects in an image to the human observer or it may be needed as a preprocessing step for subsequent automatic image analysis. Enhancement methods differ for the two purposes. An enhancement method requires a criterion by which its success can be judged. This will be a definition of image quality, since improving quality is the goal of such method. Various quality definitions will be presented and discussed. Different enhancement techniques will be presented covering methods for contrast enhancement, for the enhancement of edges, and for noise reduction. Edge-preserving smoothing based on different assumptions about noise and edges in images will be presented in detail including the presentation of several popular methods for edge-preserving smoothing.
ISBN:9781447173182
144717318X
ISSN:2191-6586
2191-6594
DOI:10.1007/978-1-4471-7320-5_4