A Novel State Space Model with Local Enhancement and State Sharing for Image Fusion

arXiv:2404.09293v1 Announce Type: new
Abstract: In image fusion tasks, images from different sources possess distinct characteristics. This has driven the development of numerous methods to explore better ways of fusing them while preserving their respective characteristics. Mamba, as a state space model, has emerged in the field of natural language processing. Recently, many studies have attempted to extend Mamba to vision tasks. However, due to the nature of images different from casual language sequences, the limited state capacity of Mamba …

abstract arxiv cs.cv development explore fusion image images mamba novel space state state space model tasks them type