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Compressed sensing and multiple image fusion: An information theoretic approach

Keykhosravi, K ; Sharif University of Technology | 2013

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  1. Type of Document: Article
  2. DOI: 10.1109/IranianMVIP.2013.6780007
  3. Publisher: IEEE Computer Society , 2013
  4. Abstract:
  5. In this paper, we propose an information theoretic approach to fuse images compressed by compressed sensing (CS) techniques. The goal is to fuse multiple compressed images directly using measurements and reconstruct the final image only once. Since the reconstruction is the most expensive step, it would be a more economic method than separate reconstruction of each image. The proposed scheme is based on calculating the result using weighted average on the measurements of the inputs, where weights are calculated by information theoretic functions. The simulation results show that the final images produced by our method have higher quality than those produced by traditional methods, especially if the number of input images exceeds two
  6. Keywords:
  7. Compressed images ; Information-theoretic approach ; Information theory ; Compressed sensing ; Computer vision ; Compressive sensing ; Image fusion ; Input image ; Measurements of ; Multiple image ; Weighted averages ; Image reconstruction
  8. Source: Iranian Conference on Machine Vision and Image Processing, MVIP ; 2013 , Pages 339-342 ; 21666776 (ISSN) ; 9781467361842 (ISBN)
  9. URL: http://ieeexplore.ieee.org./xpl/articleDetails.jsp?arnumber=6780007