Open AccessUltrasonic imaging contrast enhancement using modified dehaze image model
Author(s) -
Guo Dequan,
Liu Paul,
She Yue,
Yang Hongyu,
Liu Dong
Publication year - 2013
Publication title -
electronics letters
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.375
H-Index - 146
ISSN - 1350-911X
DOI - 10.1049/el.2012.4256
Subject(s) - compounding , contrast (vision) , ultrasonic sensor , computer science , noise (video) , image quality , artificial intelligence , image resolution , computer vision , channel (broadcasting) , ultrasound , image (mathematics) , acoustics , materials science , physics , telecommunications , composite material
In practical ultrasonic images, post‐processing that involves incoherent frame averaging such as persistence, spatial compounding and frequency compounding creates a layer of smoothed out electronic noise that is analogous to fog in photographic images. A novel approach to enhance ultrasound image contrast based on a modified dark channel model used to dehaze photographs is presented. Local minimum intensity is used to highlight image contrast, control influence of noise layer and improve detail resolution by different levels. The experimental results show that the proposed method has better performance over the existing methods in improving the quality of the ultrasonic image.