Simultaneous single image super‐resolution and blind Gaussian denoising via slim ghost full‐frequency residual blocks

Simultaneous single image super‐resolution and blind Gaussian denoising via slim ghost full‐frequency residual blocks

Abstract Given that super‐resolution (SR) aims to recover lost information, and low‐resolution (LR) images in real‐world conditions might be corrupted with multiple degradations, considering basic bicubic down‐sampling as the sole degradation significantly limits the performance of most existing SR...

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Bibliographic Details
Main Authors: Saghar Farhangfar, Aryaz Baradarani, Mohammad Asadpour, Mohammad Ali Balafar, Roman Gr. Maev
Format: Article
Language:English
Published: Wiley 2024-12-01
Series:IET Image Processing
Subjects:
convolutional neural nets
feature extraction
image representation
image resolution
Online Access:https://doi.org/10.1049/ipr2.13230
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