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Dual-Camera Compressed Hyperspectral Imaging (DCCHI) offers the capability toreconstruct 3D Hyperspectral Image (HSI) by fusing compressive and Panchromatic(PAN) image, which has shown great potential for snapshot hyperspectral imagingin practice. In this paper, we introduce a novel DCCHI reconstruction network,the Intra-Inter Similarity Exploiting Transformer (In2SET). Our key insight isto make full use of the PAN image to assist the reconstruction. To this end, wepropose using the intra-similarity within the PAN image as a proxy forapproximating the intra-similarity in the original HSI, thereby offering anenhanced content prior for more accurate HSI reconstruction. Furthermore, weaim to align the features from the underlying HSI with those of the PAN image,maintaining semantic consistency and introducing new contextual information forthe reconstruction process. By integrating In2SET into a PAN-guided unrollingframework, our method substantially enhances the spatial-spectral fidelity anddetail of the reconstructed images, providing a more comprehensive and accuratedepiction of the scene. Extensive experiments conducted on both real andsimulated datasets demonstrate that our approach consistently outperformsexisting state-of-the-art methods in terms of reconstruction quality andcomputational complexity. Code will be released.

In2SET: Intra-Inter Similarity Exploiting Transformer for Dual-Camera Compressive Hyperspectral Imaging