Deep learning techniques have received much attention in the area of image denoising.
However, there are substantial differences in the various types of deep learning methods …

We present a novel method for underwater image restoration, which combines a
Comprehensive Imaging Formation Model with prior knowledge and unsupervised …

Due to the selective attenuation of light in water, captured underwater images exhibit poor
visibility and cause considerable challenges for vision tasks. The structural and statistical …

Existing deep learning based de-raining approaches have resorted to the convolutional
architectures. However, the intrinsic limitations of convolution, including local receptive fields …

In underwater scenes, the quality of the video and image acquired by the underwater
imaging system suffers from severe degradation, influencing target detection and …

The Internet of Things (IoT) has recently emerged as a revolutionary communication
paradigm where a large number of objects and devices are closely interconnected to enable …

Due to the absorption and scattering of light, underwater captured images often face serious
quality degradation issues. In this letter, we propose to cope with the aforementioned issues …

Image restoration involves recovering a high-quality clean image from its degraded version.
Deep learning-based methods have significantly improved image restoration performance …

Image restoration is a fundamental problem that involves recovering a high-quality clean
image from its degraded observation. All-In-One image restoration models can effectively …

Due to the rapid development of artificial intelligence technology, industrial sectors are
revolutionizing in automation, reliability, and robustness, thereby significantly increasing …