May 19, 2021 · In this paper, we approach the single image dehazing problem as two restoration problems of recovering basic content and image details, and ...
Experimental results show that the proposed DPRN outperforms the state-of-the-art image dehazing methods in terms of both quantitative accuracy and qualitative.
Oct 22, 2024 · Specifically, the core structure of DPRN is a dual-path block, which uses two parallel branches to learn the characteristics of the basic ...
May 19, 2021 · Experimental results show that the proposed DPRN outperforms state-of-the-art image dehazing methods in terms of both quantitative accuracy ...
People also ask
What is single image dehazing?
What is dehazing in image processing?
What are the applications of image dehazing?
Jun 25, 2024 · Connected Papers is a visual tool to help researchers and applied scientists find academic papers relevant to their field of work.
Specifically, the first-level dual-path network consists of a Dehazing Network and a Denoising Network, where the Dehazing Network is responsible for haze ...
Missing: via Recurrent
Specifically, the first-level dual-path network consists of a Dehazing Network and a Denoising Network, where the Dehazing Network is responsible for haze ...
In this paper, we propose an efficient dual-path adaptive fusion dehazing network (DPAFD-Net) to directly restore a clear image from a hazy input.
Missing: Recurrent | Show results with:Recurrent
Nov 20, 2023 · The proposed method significantly improves the dehazing performance on synthetic and real hazy images.
Compared with the previous methods, our Dehazing Network is directly applied to the structural layer of the hazy image, which is devoid of noise and artifacts.
Missing: Recurrent | Show results with:Recurrent