Aug 29, 2018 � This paper designs a novel residual architecture to aggregate both prior (ie, domain knowledge) and data (ie, haze distribution) information to propagate�...
Abstract—Single-image dehazing is an important low-level vision task with many applications. Early studies have inves- tigated different kinds of visual�...
Nov 18, 2017 � A lightweight learning framework is proposed to train our propagation network. Finally, by introducing a taskaware image decomposition�...
A novel residual architecture to aggregate both prior and data information to propagate transmissions for scene radiance estimation is designed and a�...
A collection of DL-based dehazing methods. This repository provides a summary of deep learning based dehazing algorithms.
Single Image Dehazing - Papers With Code
paperswithcode.com › task › single-image-dehazing › codeless
In this paper, a cardinal (red, green and blue) color fusion network for single image haze removal is proposed. Paper
Learning aggregated transmission propagation networks for haze removal and beyond. IEEE Transactions on Neural Networks and Learning Systems, 30(10):2973�...
... Haze Removal [paper]; Learning Aggregated Transmission Propagation Networks for Haze Removal and Beyond [paper]. 2020. Fast Deep Multi-patch Hierarchical�...
The cycleGAN network proposes an end-to-end model for haze removal based on cycleGAN's architecture, introducing perceptual loss into cycle consistency loss as�...
Sep 15, 2024 � This paper introduces an innovative approach called Dehaze-SOD, a unique integrated model that addresses two vital tasks: dehazing and salient object detection.