Robust Blind Image Fusion for Misaligned Hyperspectral Imaging Data

Leon Bungert, Matthias J Ehrhardt, Rafael Reisenhofer

Research output: Chapter or section in a book/report/conference proceedingChapter in a published conference proceeding


The low spatial resolution of hyperspectral imaging can be significantly improved by fusing the hyperspectral image with a high resolution photograph. In most practical cases, however, the exact alignment between the fused images is not known a priori. In this work, we study how including a blind deconvolution approach in the mathematical model can help resolve translational misalignments. In particular, we investigate the influence of different initialization strategies. The efficiency of the proposed model is validated by numerical experiments using both simulated and real remote sensing data.
Original languageEnglish
Title of host publicationProceedings in Applied Mathematics & Mechanics
Number of pages2
Publication statusPublished - 17 Dec 2018


Dive into the research topics of 'Robust Blind Image Fusion for Misaligned Hyperspectral Imaging Data'. Together they form a unique fingerprint.

Cite this