Fig. 1
From: A plug and play fuzzy mask extraction module for single image deraining
Flowchart of the proposed plug and play fuzzy mask extraction (PnP-FM) framework. Stage 1: We first construct the fuzzy mask benchmark datasets where the fuzzy mask ground truth of each image is obtained by our proposed fuzzy mask extractor. Stage 2: A PnP-FM is designed. Taking the extracted fuzzy mask maps in Stage 1 as the ground truth, Resblock+LSTM module is trained on the above fuzzy mask benchmark datasets to learn mask map for any rain image, and then the trained Resblock+LSTM is regarded as PnP universal tool. Stage 3: PnP-FM is integrated into a deraining algorithm for further performance improvement.
