Advances in Electrical and Computer Engineering (Nov 2013)

Combined Sparsifying Transforms for Compressive Image Fusion

  • ZHAO, L.,
  • XU, X.,
  • WANG, H.,
  • WU, C.

DOI
https://doi.org/10.4316/AECE.2013.04014
Journal volume & issue
Vol. 13, no. 4
pp. 79 – 84

Abstract

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In this paper, we present a new compressive image fusion method based on combined sparsifying transforms. First, the framework of compressive image fusion is introduced briefly. Then, combined sparsifying transforms are presented to enhance the sparsity of images. Finally, a reconstruction algorithm based on the nonlinear conjugate gradient is presented to get the fused image. The simulations demonstrate that by using the combined sparsifying transforms better results can be achieved in terms of both the subjective visual effect and the objective evaluation indexes than using only a single sparsifying transform for compressive image fusion.

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