9 datasets found

The OHaze dataset used for testing the PF-DCP algorithm.

The dataset used for training and testing the pyramid fusion dark channel prior (PF-DCP) algorithm for single image dehazing.

Contrastive learning for compact single image dehazing

From synthetic to real: Image dehazing collaborating with unlabeled real data

Single image dehazing is a challenging ill-posed problem which estimates latent haze-free images from observed hazy images.

The Hazy-COCO dataset is a synthetic dataset generated by adding haze to the MS COCO dataset.

The RESIDE dataset is a large-scale dataset for benchmarking single image dehazing algorithms, and it includes both indoor and outdoor hazy images.

The authors created a custom dataset for their experiment, consisting of 33,000 images of 320 possible object-image combinations, with 10 possible shapes, 8 possible colors, 2...

The dataset used in this work is a custom synthetic dataset generated using the liquid-dsp library, containing 600000 examples of each of 13.8 million examples, with SNRs...