Image dehazing technology is widely utilized in outdoor environments, especially in precision agriculture, where it enhances image quality and monitoring accuracy. However, conventional dehazing ...

Image deblurring remains a fundamental challenge in computer vision, particularly for Lightweight models facing Limited input adaptability and inadequate global context modeling. This paper proposes a ...

Defocus blur commonly arises from the cameras’ depth-of-field limitations. While the deep learning method shows promise for image restoration problems, defocus deblurring requires accurate training ...

Abstract: * Given a degraded input image, image restoration aims to recover the missing high-quality image content. Numerous applications demand effective image restoration, e.g., computational ...

Magnetic Resonance Imaging (MRI) is an indispensable tool in the diagnosis of brain diseases due to painlessness and safety. Nevertheless, Rician noise is inevitably injected during the image ...