Super‐resolution reconstruction algorithm for medical images by fusion of wavelet transform and multi‐scale adaptive feature selection

Abstract Conventional computed tomography (CT) images often suffer from blurred edges and unclear details. Image super‐resolution methods can significantly enhance CT image quality, thereby improving diagnostic accuracy. To better extract detailed features and enhance the cascading effects of differ...

Full description

Saved in:
Bibliographic Details
Published inIET image processing
Main Authors Wang, QiaoSu, Ma, Qiaomei
Format Journal Article
LanguageEnglish
Published 01.10.2024
Online AccessGet full text

Cover

Be the first to leave a comment!
You must be logged in first