GP research typically focuses on designing tree-based model representations to learn useful image features for classification. However, most GP methods are proposed for gray-scale images and ignore ...

This paper introduces a novel large convolutional kernel parallel defogging network, meticulously crafted to overcome the limitations of current image defogging algorithms, which often struggle with ...