PriorNet: A Novel Lightweight Network with Multidimensional Interactive Attention for Efficient Image Dehazing

arXiv:2404.15638v1 Announce Type: new
Abstract: Hazy images degrade visual quality, and dehazing is a crucial prerequisite for subsequent processing tasks. Most current dehazing methods rely on neural networks and face challenges such as high computational parameter pressure and weak generalization capabilities. This paper introduces PriorNet--a novel, lightweight, and highly applicable dehazing network designed to significantly improve the clarity and visual quality of hazy images while avoiding excessive detail extraction issues. The core of PriorNet is the original Multi-Dimensional Interactive Attention …

abstract arxiv attention capabilities challenges computational cs.ai cs.cv current face image images interactive multidimensional network networks neural networks novel paper processing quality tasks type visual