About this document

Contrastive Learning for Image Dehazing by Kaushal jadhav is a document available to read on EtoBox.

This document presents a novel approach for single image dehazing called AECR-Net, which utilizes contrastive regularization to effectively leverage both hazy and clear images during training. The proposed method aims to improve image restoration quality while maintaining a compact network architecture that reduces computational demands. Experimental results demonstrate that AECR-Net outperforms existing state-of-the-art dehazing techniques, achieving a better balance between performance and resource effici

Author

Kaushal jadhav

Language

EN