Pixel-level image fusion: A survey of the state of the art

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YDTR: Infrared and Visible Image Fusion via Y-Shape Dynamic Transformer (2023, methodology): “Generally, MST-based methods consist of three main steps [34]–[36]: (i) The source images are decomposed to obtain multi-scale sub-bands.”
STDFusionNet: An Infrared and Visible Image Fusion Network Based on Salient Target Detection (2021, neutral): “…generally use the same transformation or representation to extract features from source images without considering the inherent properties of infrared and visible images and 2) measurement of activity levels and design of fusion rules in most methods are manual and tend to become more complex [8].”
DATFuse: Infrared and Visible Image Fusion via Dual Attention Transformer (2023, methodology): “In general, MST-based approaches involve three main procedures [35].”
DenseFuse: A Fusion Approach to Infrared and Visible Images (2018, background): “It attempts to extract salient features from source images, then these features are integrated into a single image by appropriate fusion method [1].”
U2Fusion: A Unified Unsupervised Image Fusion Network (2020, background): “I MAGE fusion has a wide variety of applications, ranging from security to industrial and civilian ﬁelds [1], [2].”