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...

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Bibliographic Details
Main Authors: QiaoSu Wang, Qiaomei Ma
Format: Article
Language:English
Published: Wiley 2024-11-01
Series:IET Image Processing
Subjects:
Online Access:https://doi.org/10.1049/ipr2.13252
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